Academia.eduAcademia.edu

Outline

Title
Abstract
Figures
Acknowledgements
Chapter 1 Introduction
Research Goal and Objectives
Overview of Computer-Aided Fixture Design
Summary of Current Research
Solution Procedure
Introduction
Experimental System
Experimental Result Analysis
Summary
Experimental Procedure and Results
Conclusion
References
All Topics
Computer Science

Finite Element Analysis for Fixture Stiffness

Profile image of Rohit KumarRohit Kumar

2005

Abstract

With growing demands on improved product quality and shorter time to market, there is need for rigorous but practical tools to support the fixture design and analysis process. Computer-aided fixture design (CAFD), with predictable fixture stiffness, becomes a means to provide an appropriate solution in fixture design. The effectiveness of previous CAFD systems is not fully satisfactory partially because analysis of fixture stiffness has not kept pace with the development of CAFD. The dissertation research provides a model of fixture unit stiffness analysis and an experimental method of identifying contact stiffness parameters. The model and the method offer the potential for a more realistic analysis of fixture stiffness properties of a fixture-workpiece system, based on a fixture unit description.

Figures (101)
Fixture unit stiffness is defined as the force required for a unit deformation of the fixture unit in normal and tangential directions at the contact position with the workpiece. For example, Figure 1.3 shows the definition of the fixture unit stiffness Ky, in the norma
Fixture unit stiffness is defined as the force required for a unit deformation of the fixture unit in normal and tangential directions at the contact position with the workpiece. For example, Figure 1.3 shows the definition of the fixture unit stiffness Ky, in the norma
taken into account because of the expense of computation. Figure 1.4 A Basic Assembly Unit of T-Slot-Based Modular Fixture
taken into account because of the expense of computation. Figure 1.4 A Basic Assembly Unit of T-Slot-Based Modular Fixture
Figure 1.5 Sketch of Fixture Deformations
Figure 1.5 Sketch of Fixture Deformations
Figure 1.7 Integrated Fixture Design System as to gain insight into the nature of the interaction between fixture components.
Figure 1.7 Integrated Fixture Design System as to gain insight into the nature of the interaction between fixture components.
drilling processes. Figure 2.1 shows the fixture-workpiece model that was used in FEA. Figure 2.1 Fixture-Workpiece Model
drilling processes. Figure 2.1 shows the fixture-workpiece model that was used in FEA. Figure 2.1 Fixture-Workpiece Model
Table 2.1 Literature Survey of Fixture-workpiece Model
Table 2.1 Literature Survey of Fixture-workpiece Model
Table 2.2 Literature Survey of Fixture Stiffness
Table 2.2 Literature Survey of Fixture Stiffness
Table 2.3 Literature Surveys of Contact Parameters 2.3 Summary of Current Research As a result, the current state-of-the art technologies suffer some major limitations that can
Table 2.3 Literature Surveys of Contact Parameters 2.3 Summary of Current Research As a result, the current state-of-the art technologies suffer some major limitations that can
Figure 3.1 Contact Model of Two Fixture Components friction.
Figure 3.1 Contact Model of Two Fixture Components friction.
Figure3.2 Physical Model of the Contact Conditions
Figure3.2 Physical Model of the Contact Conditions
Figure 3.3 Sketch of Contact Force on the Contact Surface equations in the three contact conditions (note that {n, t, t} is the local coordinate
Figure 3.3 Sketch of Contact Force on the Contact Surface equations in the three contact conditions (note that {n, t, t} is the local coordinate
Figure 3.4 (a) Flow Chart of the Analysis Procedure
Figure 3.4 (a) Flow Chart of the Analysis Procedure
1.75x10’ Ib/in, and the tangential contact stiffness, kt = 1.75x10’ Ib/in. Figure 3.5 Contact Problem between Two Beams Subjected to End Loads
1.75x10’ Ib/in, and the tangential contact stiffness, kt = 1.75x10’ Ib/in. Figure 3.5 Contact Problem between Two Beams Subjected to End Loads
show the significant effects of contact stiffness on the deformation of the contact beams. Figure 3.7 Comparison of the Deflection of a Contact Beam (at the Position Y=0 in. and Z=10 in.) Having Variable Contact Stiffness with the Corresponding Single Continuous Beam the right beam becomes larger. The results from the FEA validate the contact model and
show the significant effects of contact stiffness on the deformation of the contact beams. Figure 3.7 Comparison of the Deflection of a Contact Beam (at the Position Y=0 in. and Z=10 in.) Having Variable Contact Stiffness with the Corresponding Single Continuous Beam the right beam becomes larger. The results from the FEA validate the contact model and
shown in Figure 3.8. Figure 3.8 The FEA Model of a Typical Fixture Unit components (a 500x500x100 mm fixture base and a 100x100x300 mm support), as
shown in Figure 3.8. Figure 3.8 The FEA Model of a Typical Fixture Unit components (a 500x500x100 mm fixture base and a 100x100x300 mm support), as
Table 3.1 Deflection of the Fixture Unit for Different Load Combinations
Table 3.1 Deflection of the Fixture Unit for Different Load Combinations
fixtures. Figure 3.9 Typical Deflection Curve of Fixture Units from FEA problems, such as the wear of fixture components, particularly when using modular
fixtures. Figure 3.9 Typical Deflection Curve of Fixture Units from FEA problems, such as the wear of fixture components, particularly when using modular
Figure 3.10 Deflection Curves under Different Fastening Forces from FEA
Figure 3.10 Deflection Curves under Different Fastening Forces from FEA
Figure 3.11 Deflection Curves from Previous Experiments (Zhu, 1993)
Figure 3.11 Deflection Curves from Previous Experiments (Zhu, 1993)
The frictional force acting on the contact surface follows the Coulomb law of friction.
The frictional force acting on the contact surface follows the Coulomb law of friction.
Figure 4.3 Levels of Independent Variables
Figure 4.3 Levels of Independent Variables
Table 4.1 Material Prosperity of Specimens Table 4.1. The contact surface was generated in a turning operation.
Table 4.1 Material Prosperity of Specimens Table 4.1. The contact surface was generated in a turning operation.
The experimental setup is comprised of multimeters (HP3478A), the power supply
The experimental setup is comprised of multimeters (HP3478A), the power supply
loads. The proximities are calibrated. normal direction. A torque wrench with a capacity of 250 in-Ib is used to measure normal Figure 4.5 Experimental Setup preload bolt and the indenter are used to apply uniform distribution of normal loads in a locks, two riser plates, and the base plate were chosen as a fixed reference frame. The
loads. The proximities are calibrated. normal direction. A torque wrench with a capacity of 250 in-Ib is used to measure normal Figure 4.5 Experimental Setup preload bolt and the indenter are used to apply uniform distribution of normal loads in a locks, two riser plates, and the base plate were chosen as a fixed reference frame. The
Table 4.2 Applied torque, the resulted normal loads and surface pressure
Table 4.2 Applied torque, the resulted normal loads and surface pressure
(Surface finish Ra = 3.08; Radius =0.5in)
(Surface finish Ra = 3.08; Radius =0.5in)
(Surface Finish Ra = 3.08; Radius =0.5in)
(Surface Finish Ra = 3.08; Radius =0.5in)
Figure 4.9 Structure Stiffness and Contact Stiffness versus Normal Loads
Figure 4.9 Structure Stiffness and Contact Stiffness versus Normal Loads
Figure 4.11 Effects of the Contact Area on the Contact Stiffness
Figure 4.11 Effects of the Contact Area on the Contact Stiffness
Table 4.3 Roughness Profiles Ra (um)
Table 4.3 Roughness Profiles Ra (um)
Figure 4.12 Roughness Profile Measurement
Figure 4.12 Roughness Profile Measurement
surface finish leads to higher contact stiffness.
surface finish leads to higher contact stiffness.
Figure 4.15 One-Dimensional Model for Normal contact Stiffness
Figure 4.15 One-Dimensional Model for Normal contact Stiffness
position x is shown in Figure 4.16. The longitudinal strain at x is given by With use of a bar in Figure 4.15, a small element of length dx (the limiting case of 5x) at The longitudinal stress at the cross-section at x is o=Ee and, hence, the longitudinal force
position x is shown in Figure 4.16. The longitudinal strain at x is given by With use of a bar in Figure 4.15, a small element of length dx (the limiting case of 5x) at The longitudinal stress at the cross-section at x is o=Ee and, hence, the longitudinal force
Table 4.4 Relationship between B and A; When B is Changed from 0.1 to 10
Table 4.4 Relationship between B and A; When B is Changed from 0.1 to 10
from the comparison of experimental results and theoretical results. Then the
from the comparison of experimental results and theoretical results. Then the
results of dynamic tests, as shown in Figure 4.22. is obtained and used in the calculation of natural frequencies, and then compared with the Values Based on Static Test experimental condition, i.e., the same experimental device and preloads, contact stiffness with the previous static measurement results of contact stiffness. Under the same
results of dynamic tests, as shown in Figure 4.22. is obtained and used in the calculation of natural frequencies, and then compared with the Values Based on Static Test experimental condition, i.e., the same experimental device and preloads, contact stiffness with the previous static measurement results of contact stiffness. Under the same
stiffness of these contact surfaces depends on their statistical topographical parameters.
stiffness of these contact surfaces depends on their statistical topographical parameters.
given by Eq. 4.24. Figure 4.25 Model of the Fixture Components in Contact
given by Eq. 4.24. Figure 4.25 Model of the Fixture Components in Contact
specimen. The response was obtained at point M, at the other side of the specimen. Figure 4.27 shows the relationships between tangential contact stiffness and natural
specimen. The response was obtained at point M, at the other side of the specimen. Figure 4.27 shows the relationships between tangential contact stiffness and natural
Figure 4.27 Tangential Stiffness vs. the First Two Natural Frequencies preloads. The contact stiffness can be determined based on the relationships shown it
Figure 4.27 Tangential Stiffness vs. the First Two Natural Frequencies preloads. The contact stiffness can be determined based on the relationships shown it
and numerical results. 1. Preload bolt 2. Upper plate 3. Riser Plate 4. Proximity 5. Base plate 6. Support 7. Specimen 8 Indenter
and numerical results. 1. Preload bolt 2. Upper plate 3. Riser Plate 4. Proximity 5. Base plate 6. Support 7. Specimen 8 Indenter
agreement.
agreement.
Figure 4.30 Natural Frequencies of First Two Modes versus Preloads
Figure 4.30 Natural Frequencies of First Two Modes versus Preloads
Figure 4.31 Tangential Contact Stiffness under Different Preloads
Figure 4.31 Tangential Contact Stiffness under Different Preloads
Figure A.2 Mean Values of All Relative Data vs. Normal Loads Table A.3 All Relative Data vs. Normal Loads
Figure A.2 Mean Values of All Relative Data vs. Normal Loads Table A.3 All Relative Data vs. Normal Loads
Table A.6 Displacements (Mean Value) vs. Surface Pressure
Table A.6 Displacements (Mean Value) vs. Surface Pressure
Figure A.3 Displacements (Mean Value) vs. Surface Pressure
Figure A.3 Displacements (Mean Value) vs. Surface Pressure
Table B.3 All Relative Data vs. Normal Loads Table B.4 Surface Pressure Caused by Normal Loads
Table B.3 All Relative Data vs. Normal Loads Table B.4 Surface Pressure Caused by Normal Loads
Table C.4 Surface Pressure Caused by Normal Loads
Table C.4 Surface Pressure Caused by Normal Loads
Table C.3 All Relative Data vs. Normal Loads Figure C.2 Mean Values of All Relative Data vs. Normal Loads
Table C.3 All Relative Data vs. Normal Loads Figure C.2 Mean Values of All Relative Data vs. Normal Loads
Table D.2 Relative Measured Data (Unit: Volt)
Table D.2 Relative Measured Data (Unit: Volt)
Figure D.1 All Relative Data vs. Normal Loads
Figure D.1 All Relative Data vs. Normal Loads
Table D.3 All Relative Data vs. Normal Loads
Table D.3 All Relative Data vs. Normal Loads
Figure D.2 Mean Values of All Relative Data vs. Normal Loads
Figure D.2 Mean Values of All Relative Data vs. Normal Loads

Related papers

Computer-Aided Fixture Design Verification. Part 2. Tolerance Analysis
Yiming Kang

International Journal of Advanced Manufacturing Technology, 2003

Tolerance analysis is the most important issue in computer-aided fixture design (CAFD), and it is an important part of computer-aided fixture design verification (CAFDV). This study presents a new approach for fixture tolerance analysis that is more generalised and can be used to assign locator tolerances based on machining surface tolerance requirements. The tolerance analysis is also generalised to handle any type of fixture design, workpiece, datum feature, and machining feature tolerance. Locator tolerance assignment distributes tolerances to locators based on a sensitivity analysis.

View PDFchevron_right
An experimental investigation of fixture–workpiece contact behaviour for the dynamic simulation of complex fixture–workpiece systems
Svetan Ratchev

Journal of Materials Processing Technology, 2005

To reduce the overall costs and lead-times of new fixture development, an efficient and accurate fixture design verification methodology would have to be developed. This paper presents an innovative simulation methodology that is capable of predicting the dynamic behaviour of fixture-workpiece systems and is compatible with any commercially available FEA platforms. This is through the implementation of an innovative technique which utilises spring and damper elements to represent every point where the fixture is in contact with the workpiece. Previous verification of the technique has yielded promising results but a key element that needs to be addressed is the description of the spring behaviour in the FEA environment so that it could reflect the real-world behaviour of fixture-workpiece contacts. This paper reports on the experimental work to produce the required spring profiles for a range of fixture and workpiece contact scenarios. The entire experiment was planned and executed using design of experiment (DOE) techniques, ensuring that the results can be tested for statistical significance.

View PDFchevron_right
Force and Deformation Analysis for Determination of Optimum Fixture Configuration
devaiah malkapuram

2018

An important aspect in the design of a good fixture is that of imparting sufficient rigidity to the entire work piece surface that are to be machined. Rigidity refers to the ability of the system to withstand applied loads with minimal deformation. A good fixture must able to completely restrain the work piece to counter any possible cutting forces and couples in machining stages. The present study aims at implementing finite element analysis and finite element optimization techniques to determine the optimum fixture configuration for drilling through a deformable work piece. The 3-2-1 locating principle has been used and in order to simulate real time conditions contact elements have been used at the interfaces of the work piece and the fixturing elements. The desired fixturing characteristics are optimized with respect to the objective function. Excessive clamp forces and improper location may cause large elastic deformations in the work piece. Hence the lateral deflection of the ...

View PDFchevron_right
Computer aided fixture design: Using information intensive function models in the development of automated fixture design systems
J. Cecil

Journal of Manufacturing Systems, 2002

In this paper, the development of an Information Intensive Function Model (IIFM) of fixture design activities is discussed. This function model was developed using the IDEF-0 (Integrated Definition) methodology and was built primarily after interacting with expert fixture designers. In addition, knowledge from fixture design, tool design, and metalcutting handbooks and from journal papers was used to lend a holistic flavor to the developed IDEF-0 model. An IDEF-0 modeling software tool, AI0 Win@, was used to build this model at various levels of decomposition.

View PDFchevron_right
An investigation of indicators for controlling the quality of a fixture
A. Sergent

International Journal of Metrology and Quality Engineering, 2010

The quality of fixtures plays an important role in product quality during manufacturing, measuring or assembly. Finding methods for evaluating a fixture's quality, which may depend on workpiece errors, fixture errors, influences of clamping force, friction, etc., is necessary to improve the product quality. This paper proposes the indicators that are used for estimating the quality of a fixture based on workpiece localization repeatability. Here, the workpiece localization will be considered in the following different cases: (1) considering only the influence of different geometric parameters (types) of the fixture, (2) taking into account the clamping force in the different types of the fixture, (3) the influence of friction on the contacts of the workpiece-fixture. A fixture model is presented and analysed with some examples. An experimental fixture and workpiece are then used to analyse and compare with the theoretical results.

View PDFchevron_right
Early Fast Analysis of the Effect of Different Fixture Configurations in Compliant Assembly Design
Stanislao Patalano

Dimensional and geometrical variations have a significant impact on manufacturing and assembly phases. Computer tools to predict failures and control variations are welcome if they are able to spam in a fast way more variety of design solutions including several types of fixtures and related statistical variability. In this direction the SVA-FEA computer simulation tool is here used to analyse the effect of different fixture configurations of an assembly of two sheet metal parts. Two key characteristics are defined on the assembly and how they vary under several combinations of assembly fixtures is shown.

View PDFchevron_right
Fixture Design Automation and Optimization Techniques: Review and Future Trends
Prof Dr Awaluddin Mohamed Shaharoun

International Journal of Engineering, 2014

Fixture design is a crucial part of manufacturing process. Fixture design is a critical design activity in which automation plays an integral role in linking computer-aided design (CAD) and computer-aided manufacturing (CAM). This paper presents a literature review in computer aided fixture design (CAFD) in terms of automation and optimization techniques over the past decades. First, the reason behind necessity of automated fixture design is stated. According to the degree of automation, fixture design methods are then categorized based on significant works done in the CAFD field. Regarding the need of automated fixture design systems, optimization techniques, which are mostly used for automated CAFD methods, are closely considered. The significant optimization techniques are then studied in case of applications and working principles. At the end, the current weaknesses of the existing methods and the research fields, which require deeper studies as future trends are presented as well.

View PDFchevron_right
IJIERT-OVERVIEW OF FIXTURE DESIGN FOR INDUSTRY
(IJIERT) International Journal of Innovations in Engineering Research and Technology IJIERT

NOVATEUR PUBLICATIONS , 2020

Mechanical industries are grown at the rate of 5% in last decade and which is supposed to grow in future at faster rate with the supporting policies of Indian government such as make in India. The mechanical industries are acting as the backbone of all sectors as without mechanical industries it is highly impossible to manufacture any product at large scale. Many operations in mechanical industries need to work on the piece of materials. For the operations such as cutting, shaping, turning and many more, fixtures are used so that the piece of material will be fixed at a place in order to complete operations with precision. Fixture is one of the basic elements in mechanical operations of industry for converting the raw material to product. INTRODUCTION: Fixture is the most important equipment used in mechanical industries to hold, locate and support the work piece during the operation. The purpose of the project is to reduce the human effort. This project has been selected as an issue of safety and failure of worker in an industry. The completion of this project will drastically reduce fatigue of the worker and also provide safe working conditions to worker. The fixture needs the electromechanical components to operate. The operating parts include valves to control direction, movements, cylinders to control pressure etc. The product development process should be very fast and bendable with the minimum scope for any accident during operations. The mechanical parts are processed to give them a final shape of product with mechanical operations. These operations will be performed with more precision if a structure to fix the piece of material is used. Fixtures plays important role in production of mechanical parts with effective performance of operations on it.

View PDFchevron_right
An integrated System for Automatic Computer Aided Fixture Design
Awais Khan

usc.edu

The essential factor for the recent manufacturing companies is to develop a variety of products within short timeframes. Therefore, the flexible manufacturing techniques are rapidly growing to compete the markets globally. A number of factors contribute in ...

View PDFchevron_right
Introduction to Fixture Design
Pablo Marusich Aviña
View PDFchevron_right

References (54)

  1. 90E+06 3.67E+06 5.38E+06 5.61E+06 6.71E+06 7.57E+06 8.28E+06 8.77E+06 9.75E+06 References [Aliabadi, 1993] Aliabadi, M. H. and C. A. Brebbia, 1993, Computational methods in contact mechanics, Computational Mechanics Publications. [Amaral, 2001] Amaral, N. "Development of a finite element analysis tool for fixture design integrity verification and optimization," M.S. thesis, Worcester Polytechnic Institute, Worcester, MA, 2001.
  2. An, 1999] An, Z., S. Huang, J. Li, Y., Rong and S. Jayaram, 1999, "Development of automated fixture design systems with predefined fixture component types: part 1, basic design," Int. J. of Flexible Automation and Integrated Manufg, Vol. 7, No. ¾, pp. 321- 341.
  3. A.R. Mijar, 2000] A.R. Mijar and J.S.Arora, "Review of formulations for elastostatic frictional contact problems", Struct Multidisc Optim, 20, pp.167-189, 2000.
  4. Asada, 1985] Asada, H. and A. By, 1985, "Kinematics analysis of workpart fixturing for flexible assembly with automatically reconfigurable fixtures", Proc. of IEEE Int Conf on Robotics and Automation, 1985, Vol. RA-1, No. 2, pp. 86-93.
  5. Bathe, 1996] Bathe, Klaus-Jurgen, "Finite element procedures in engineering analysis", 1996, Merrill Peterson.
  6. Beards, 1986] Beards, C F, "The damping of structural vibration by controlled inter- facial slip in joints", An ASME publication, 8 l-DET-86, 1986.
  7. Boyle, 2004] Boyle, I., Y. Rong, and D. Brown. "CAFixD: A case-based reasoning fixture design method, framework, and indexing mechanism," in Proceedings of the 24th Computers and Information in Engineering (CIE) Conference, Salt Lake City, 28 Sept.-3 Oct., New York: ASME, 2004.
  8. Brost, 1996] Brost, R.C. and K. Y. Goldberg, 1996, "A complete algorithm for synthesizing modular fixtures for polygonal parts", IEEE Trans. on Robots & Auto., Vol. 12, No. 1, pp. 31-46.
  9. Cai, 1996] Cai, W. S. J. Hu, and J. X. Yuan. "Deformable sheet metal fixturing: principles, algorithms, and simulations," Journal of Engineering for Industry 118, pp. 318-324, 1996.
  10. Chou, 1989] Chou, Y. C., V. Chandru, and M. M. Barash, 1989, "A mathematical approach to automatic configuration of machining fixtures: analysis and synthesis," Journal of Engineering for Industry, Vol. 111, pp. 299-306.
  11. Chou, 1993] Chou, Y. C., 1993, "Automated fixture design for concurrent manufacturing planning", Concurrent Engineering: Res. & Appl., Vol. 1, pp. 219-229.
  12. Cook, 1989] Cook, R. D., D. S. Malkus, and Michael E. Plesha, 1989, Concepts and applications of finite element analysis, 3 rd ed., John Wiley & Sons, NY.
  13. De Meter, 1993] De Meter EC. Selection of fixture configuration for the maximization of mechanical leverage. In Proc ASME WAM, New Orlens, LA, 1993; PED-4:491-506.
  14. Fang, 2002] Fang, B., R.E. DeVor, S.G. Kapoor, 2002, "Influence of friction damping on workpiece-fixture system dynamics and machining stability", Journal of Manufacturing Science and Engineering, Vol. 124, pp. 226-233.
  15. Fuh, 1994] Fuh, J.Y.H, A.Y.C. Nee, 1994, "Verification and optimization of workholding scheme for fixture design", Journal of Design and Manufacturing, No. 4, pp. 307-318.
  16. Grippo, 1987] Grippo, P. M., M. V. Grandhi, and B. S. Thompson, 1987, "The computer-aided design of modular fixturing systems", The International Journal of Advanced Manufacturing Technology, Vol. 2, No. 2, pp. 75-88.
  17. Han, 2003] Han, H. and Y. Rong, 2003, "Development of a variation fixture design technique", Research Report, Worcester Polytechnic Institute.
  18. Hoffman, 1991] Hoffman, E. G, Jig and fixture Design, 3 rd Ed., Delmar, New York, 1991. [Hurtado, 2002] Hurtado, Jose F.and Melkte, Shreyes N., 2002, "Modeling and analysis of the effect of fixture-workpiece conformability on static stability", transactions of the asme, journal of manufacturing science and engineering, May, 2002, Vol. 124, pp234- 241.
  19. Kang, 2003] Kang, Y., Y. Rong, and J-C. Yang, 2003, "Computer-aided fixture design verification, part 1: the framework and modeling; part 2: tolerance analysis; part 3: stability analysis", International Journal of Advanced Manufacturing Technology (to appear).
  20. Kashyap, 1999] Kashyap, S., and W. R. DeVries. "Finite element analysis and optimization in fixture design," in Structural Optimization, pp. 193-201, Berlin: Springer-Verlag, 1999.
  21. Kow, 1998] Kow, T. S., A.S. Kumar, J.Y.H. Fuh, 1998, "An integrated computer-aided modular fixture design system for interference free design", ASME IMECE, Anaheim, CA, Nov. 15-20, Manufacturing Science and Engineering, MED-Vol. 8, pp.909-916.
  22. Kumar, 1998] Kumar, A. S. and A. Y. C. Nee, 1995, "A framework for a variant fixture design system using case-based reasoning technique," Computer-aided Tooling, ASME WAM, 1995, MED-Vol. 2-1, pp. 763-775.
  23. Lee,1987] Lee, J. D. and L. S. Haynes, 1987, "Finite element analysis of flexible fixturing systems", Journal of Engineering for Industry, 109, pp.134-139.
  24. Li, 1999] Li, B. and S. N. Melkote, 1999, "An elastic contact model for prediction of workpiece-fixture contact forces in clamping", J. of Manuf. Sci. and Engr., Vol. 121, pp. 485-493.
  25. Liao, 2001] Liao, Y. G. and S.J. Hu, 2001, "An integrated model of a fixture-workpiece system for surface quality prediction", Int. J. of Adv. Manufg. Tech., Vol. 17, pp. 810- 818. [Ma, 1998] Ma, W., Z. Lei, and Y. Rong, 1998, "FIX-DES: a computer-aided modular fixture configuration design system," Int. J. of Adv. Manufacturing Tech., 1998, 14:21-32.
  26. Ma, 1999] Ma, W., J. Li and Y. Rong, 1999, "Development of automated fixture planning systems," Int. J. of Advanced Manufacturing Technology, 1999, 15:171-181.
  27. Mani,1988] Mani M, Wilson WRD, "Automated design of workholding fixtures using kinematic constraint systhesis", In Proc. ASME WAM, Dallas, TX, 1990; PED-47:203- 18. [Marin, 2002] Marin, R. A. and P. M. Ferreira, 2002b, "Optimal placement of fixture clamps: part 1, maintaining form closure and independent regions of form closure; part 2, minimizing the maximum clamping forces", J. of Manuf. Sci. and Engr., Vol. 124, pp. 676-694.
  28. Markus, 1988] Markus, A., 1988, "Strategies for the automated generation of modular fixtures", Proc. Manufacturing Internal, 1988, pp. 97-103.
  29. Marsh, 1997] Marsh, E.R. and Yantek, D.S., 1997, "Experimental measurement of precision bearing dynamic stiffness," Journal of Sound and Vibration, Vol.202, No.1, pp. 55-66. [Mazurkiewicz M, 1983] Mazurkiewicz M, W. Ostachowicz, 1983, "Theory of finite element method for elastic contact problems of solid bodies", Computer Structure, Vol. 17, pp51-59.
  30. Menassa, 1990] Menassa RJ, DeVries, W. "A design synthesis and optimization method for fixtures with compliant elements", In Proc 16 th NAMRC, 1988; 437-44.
  31. Nee, 1991] Nee, A. Y. C. and A. Senthil Kumar, 1991, "A framework for an object/rule- based automated fixture design system", Annals of the CIRP, Vol. 40/1/1991. pp. 147- 151. [Nnaji, 1990] Nnaji, B. O., S. Alladin, and P. Lyu, 1990, "Rules for an expert fixturing system on a cad screen using flexible fixtures", J. of Intelligent Manuf. Vol. 1, pp. 31-48.
  32. Patricia, 1999] Patricia, J., W. Becker, and R. H. Wynn. "Using rigid-body dynamics to measure joint stiffness," Mechanical Systems and Signal Processing 13:5, pp. 789-801, 1999. [Pham, 1990] Pham, D. T. and A de Sam Lazaro, 1990, "AUTOFIX-an expert CAD system for jigs and fixtures", Int. J. of Machine Tools and Manufacture Vol. 30, No.3, pp. 403-411.
  33. Pong, 1993] Pong, P. C., R. R. Barton, and P. H. Cohen. "Optimum fixture design," in Proceedings of the Second Industrial Engineering Research Conference, May 26-28, Los Angeles, CA, pp. 6-10, Norcross, GA: IIE, 1993.
  34. P. Wriggers, 1996] P. Wriggers, "Finite element methods for contact problems with friction", Tribology International, 29(8), pp.651-658, 1996. [Ren, 1995] Ren, Y., and C. F. Beards. "On substructure synthesis with FRF data," Journal of Sound and Vibration, pp. 845-866, 1995.
  35. Rong, 1992] Rong, Y., Y. Zhu, 1992, "An application of group technology in computer- aided fixture design," Int. J. Systems Automation: Res. & Appl., Vol. 2, No. 4, pp. 395- 405. [Rong, 1997] Rong, Y. and Y. Bai, 1997, "Automated generation of modular fixture configuration design," Journal of Manufacturing Science and Engineering, Vol. 119, pp. 208-219.
  36. Rong, 1999] Rong, Y. and Y. Zhu, 1999, Computer-Aided Fixture Design, New York, NY, Dekker.
  37. Rong, 2003] Rong, Y., 2003, "Four generations of computer-aided fixture design", Research Report, Worcester Polytechnic Insititute.
  38. Roy, 2002] Roy, U. and J. Liao, 2002, "Fixturing analysis for stability consideration in an automated fixture design system", J. of Manuf. Science and Engineering, Vol. 124, pp. 98-104. [Sen, 1990] Sen, A., and M. Srivastava, "Regression analysis: theory, methods, and applications", New York: Springer-Verlag, 1990.
  39. Shigley, 1989] Shigley, J. E., and C. R. Mischke, "Mechanical engineering design", New York: McGraw-Hill, 1989.
  40. Sun, 1995] Sun, S. H. and J. L. Chen, 1995, "A modular fixture design system based on case-based reasoning," Int. J. of Advanced Manufg. Tech, Vol. 10, 1995, pp. 389-395.
  41. Thomposon, 1986] Thomposon, B. S. and M. V. Gandhi, "Commentary on flexible fixturing, applied mechanics review", Vol. 39, No. 9, pp. 1365-1369.
  42. Trappey, 1995] Trappey, A. J. C., C. S. Su, J. L. Hou, 1995, "Computer-aided fixture analysis using finite element analysis and mathematical optimization modeling," ASME INECE, MED v 2-1, Nov. 12-17, 1995, pp 777-787.
  43. Tsai, 1988] Tsai, J. S., and Y. F. Chou. "The Identification of Dynamic Characteristics of a Single Bolt Joint," Journal of Sound and Vibration 125:3, pp. 487-502, 1988. [Tzou, 1991] Tzou, H. S. and Y. Rong, 1991, "Contact dynamics of a spherical joint and a jointed truss-cell unit system: theory and stochastic simulation," AIAA Journal, Vol. 29, No. 1, 1991, pp. 81-88.
  44. Wang, 1990] Wang, J., and C. M. Liou,. "identification of parameters of structural joints by use of noise-contaminated FRFs," Journal of Sound and Vibration Vol. 141, pp. 261- 277, 1990.
  45. Wang, 1999] Wang, J. H., and M. J. Yang. "Problems and solutions in the parameters of mechanical joints," in the 3 rd International Conference in Inverse Problem in Engineering: Theory and Practice, June 13-18, 1999, Port Ludlow, WA, U.S.A., ASME Paper No. ME
  46. Wardak, 2001] Wardak et al, 2001, "Optimal fixture design for drilling through deformable plate workpieces -part 1: model formulation", Journal of Manufacturing Systems, Vol 20, No.1, pp23-21.
  47. Whitney, 1999] Whitney, D. E., R. Mantripragada, J. D. Adams and S. J. Rhee, 1999, "Designing assemblies", Research in Engineering Design, Vol. 11, pp. 229-253.
  48. Wu, 1997] Wu, Y., Y. Rong, T. Chu, 1997, "Automated generation of dedicated fixture configura-tion," Int. J. Computer Application in Tech., Vol. 10, No. 3/4, pp. 213-235.
  49. Wu, 1998] Wu, Y., Y. Rong, W. Ma, and S. LeClair, 1998, "Automated modular fixture design: part 1, geometric analysis; part 2, accuracy, clamping, and accessibility analysis," Robotics and Computer-integrated Manufacturing, 14:1-26, 1998.
  50. Xiong, 1998] Xiong, C. and Y. Xiong, 1998, "Stability index and contact configuration planning for multifingered grasp", Journal of Robotic Systems, Vol. 15, No. 4, pp. 183- 190. [Yang, 1998] Yang, B. D., M. L. Chu, and C. H. Menq. "Stick-slip-separation analysis and non-linear stiffness and damping characterization of friction contacts having variable normal load," Journal of Sound and Vibration 210:4, pp. 461-481, 1998.
  51. Yang, 2003] Yang, T., S.-H. Fan, and C.-S. Lin. "Joint stiffness identification using FRF measurements," Computers and Structures 81, pp. 2459-2566, 2003.
  52. Yeh, 1999] Yeh, J. H., F. W. Liou, 1999, "Contact condition modeling for machining fixture setup processes", Int. Journal of machine tools & manufacture, Vol. 39, pp. 787-
  53. Zhu, 1993] Zhu, Y., S. Zhang, Y. Rong, 1993, "Experimental study on fixturing stiffness of T-slot based modular fixtures," NAMRI Transactions XXI, NAMRC, Stillwater, OK, May 19-21, pp. 231-235.
  54. Tao, 1999] Z.J. Tao, A.S. Kumar and A.Y.C. Nee, "Automatic generation of dynamic clamping forces for machining fixtures", International Journal of Production Research, vol.37, No. 12, pp. 2755-2776,1999.

Related papers

Finite Element Modelling and Analysis of Workpiece-Fixture System
Suhas Mohite

International Journal of Applied Research in Mechanical Engineering

The fixture design and analysis lead-time is always a major influencing factor for the bottleneck between product design and manufacturing. With advent analysis and simulation tools, there is a lot of potential to expand the scope of optimization of fixture elements to achieve the objectives such as ‘maximizing rigidity’ and ‘minimizing weight’ of a fixture assembly. There are many sources which affect the rigidity of fixture assembly. The rigidity of fixture assembly mainly depends upon various factors such as material properties, geometry of individual components, stability against thermal distortions, clearances or plays on fixture elements (to facilitate loading and unloading of workpiece), contact deformations at contacting surfaces, etc. Among these, contact deformations at contact interface are one of the important sources of errors in precision fixture design. These contact deformations are measure of contact stiffness and therefore needed to be studied in accordance with wo...

View PDFchevron_right
Computer-Aided Fixture Design Verification. Part 3. Stability Analysis
Yiming Kang

International Journal of Advanced Manufacturing Technology, 2003

In fixture design, a workpiece is required to remain stable throughout the fixturing and machining processes in order to achieve safety and machining accuracy. This requirement is verified by a function of the computer-aided fixture design verification (CAFDV) system. This paper presents the methodologies of fixturing stability analysis in CAFDV. A kinetic fixture model is created to formulate the stability problem, and a fixture stiffness matrix (FSM) is derived to solve the problem. This approach not only verifies fixturing stability, but also finds the minimum clamping forces, fixture deformation, and fixture reaction forces. The clamping sequence can also be verified with this approach.

View PDFchevron_right
Computer aided fixture design: Recent research and trends
Sochdev Kumar

Widely used in manufacturing, fixtures have a direct impact upon product manufacturing quality, productivity and cost, so much attention has already been paid to the research of computer aided fixture design (CAFD) and many achievements in this field have been reported. In this paper, a literature survey of computer aided fixture design and automation over the past decade is proposed. First, an introduction is given on the fixture applications in industry. Then, significant works done in the CAFD field, including their approaches, requirements and working principles are discussed. Finally, some prospective research trends are also discussed.

View PDFchevron_right
Computer-Aided Fixture Design Verification. Part 1. The Framework and Modelling
Yiming Kang

International Journal of Advanced Manufacturing Technology, 2003

Computer-aided fixture design (CAFD) techniques have been advanced rapidly so that fixture configurations can be generated automatically, for both modular fixtures and dedicated fixtures. Computer-aided fixture design verification (CAFDV) is the technique for verifying and improving existing fixture designs. In this paper, the framework of CAFDV is introduced based on two models, i.e., geometric and kinematic models. The fixturing tolerance and stability verification will be presented in separate papers.

View PDFchevron_right
Fixture Designers Guidance: A Review of Recent Advanced Approaches
H. Hashemi, Awaluddin Shaharoun

Fixture design is an important issue in the process of manufacturing. Fixture design is a critical design activity process which bridges Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM). The present paper presents a literature review of the Computer-Aided Fixture Design (CAFD) approaches performed. The purpose of this research is to give a deep and quick understanding of fixture design, its criteria and approaches used in this field. The significant techniques used in this field along with their applications, criteria and assumptions are also considered. The shortcomings of the existing research studies are stated and some issues pertaining to handling the weaknesses of the current research are suggested to be hopefully taken into account in future research.

View PDFchevron_right

Related topics

  • Computer Science
    • 580 California St., Suite 400
    San Francisco, CA, 94104
    © 2025 Academia. All rights reserved