The surface roughness is a widely used index of product quality in terms of precision fit of mating surfaces, fatigue life improvement, corrosion resistance, aesthetics, etc. Surface roughness also denotes the amount of energy and other... more
In this research, the experiment is done by a dryer. It could provide any desired drying air temperature between 20 and 120°C and air relative humidity between 5 and 95% and air velocity between 0.1 and 5.0 m/s with high accuracy, and the... more
This paper gives a review for applications of Genetic algorithm for multi-objective advanced planning and scheduling problem. At the start, different needs for Multi-objective advanced planning and scheduling problem is discussed for... more
In this study, application of a versatile approach for estimation moisture content of dried banana using neural network and genetic algorithm has been presented. The banana samples were dehydrated using two non-thermal processes namely... more
Prediction of the production rate of the cutting dimensional stone process is crucial, especially when chain saw machines are used. The cutting dimensional rock process is generally a complex issue with numerous effective factors... more
Predicting the sawability of the dimension stone is one of the most important factors involved in production planning. Moreover, this factor can be used as an important criterion in the cost estimation and planning of the stone plants.... more
Evaluation and prediction of performance of diamond wire saw is one of the most important factors involved in planning the dimension stone quarries. The wear rate of diamond wire saw can be investigated as a major criterion to evaluate... more
Osmotic dehydration characteristics of kiwifruit were predicted by different activation functions of an artificial neural network. Osmotic solution concentration (y1), osmotic solution temperature (y2), and immersion time (y3) were... more
Predicting the vibration of the circular sawing machine is very important in examining the performance of the sawing process, as it shows the amount of energy consumption of the circular sawing machine. Also, this factor is directly... more
One of the most significant and effective criteria in the process of cutting dimensional rocks using the gang saw is the maximum energy consumption rate of the machine, and its accurate prediction and estimation can help designers and... more
The article deals with the specification of the most suitable machining parameters for three newly designed end mills in the term of stability of the deep groove machining, at which the depth of cut is minimally twice higher the diameter... more
Prediction of the production rate of the cutting dimensional stone process is crucial, especially when chain saw machines are used. The cutting dimensional rock process is generally a complex issue with numerous effective factors... more
Assessment of wear rate is an inseparable section of the sawability of dimension stone and an essential task to optimization in diamond wire saw performance. The aim of this research is to provide an accurate, practical and applicable... more
Different methods have been used for construction materials' extraction so far. Over the years and with technological progresses, the traditional methods were outdated. The selection of the most suitable mining methods is a multi-criteria... more
Slope stability analysis is undoubtedly one of the most complex problems in geotechnical engineering and its study plays a paramount role in mitigating the risk associated with the occurrence of a landslide. This problem is commonly... more
In this work, energy is harvested from circular piezoelectric materials with different boundary conditions under dynamic loading. The output of the proposed system is investigated by connecting piezo with full wave bridge rectifier (FWBR)... more
During the design and implementation of underground constructions, the risk assessment and management of geological hazards are important due to the hazards such as the water inflow, collision with crushed fault zones, squeezing and... more
In this study, models based on artificial neural networks (ANN) and regression analysis were developed to predict the surface roughness during the turning of red brass (C23000), using a high-speed steel (HSS) tool. The full factorial... more
A stiff equation is a differential equation for which certain numerical methods are not stable, unless the step length is taken to be extraordinarily small. The stiff differential equation includes few terms that could result in speedy... more
The Flexible Manufacturing Systems (FMS) belong to class of productive systems in which the main characteristic is the simultaneous execution of several processes and sharing a finite set of resource. Nowadays, the FMS must attend the... more
Predicting the vibration of the circular sawing machine is very important in examining the performance of the sawing process, as it shows the amount of energy consumption of the circular sawing machine. Also, this factor is directly... more
This paper develops a predictive and optimization model by coupling the two artificial intelligence approaches - artificial neural network and genetic algorithm - as an alternative to conventional approaches in predicting the optimal... more
This paper develops a predictive and optimization model by coupling the two artificial intelligence approaches-artificial neural network and genetic algorithm-as an alternative to conventional approaches in predicting the optimal value of... more
This paper develops a predictive and optimization model by coupling the two artificial intelligence approaches - artificial neural network and genetic algorithm - as an alternative to conventional approaches in predicting the optimal... more
In this research, the experiment is done by a dryer. It could provide any desired drying air temperature between 20 and 120°C and air relative humidity between 5 and 95% and air velocity between 0.1 and 5.0 m/s with high accuracy, and the... more
Predicting the sawability of the dimension stone is one of the most important factors involved in production planning. Moreover, this factor can be used as an important criterion in the cost estimation and planning of the stone plants.... more
Wear and energy consumption are the two main cost items in the processing of natural stones using segmented circular diamond sawblades. Hence, there are many benefits to be gained in understanding the various aspects of this process. The... more
In feed forward neural networks, hidden layer neurons' saturation conditions, which are the cause of flat spots on the error surface, is one of the main disadvantages of any conventional gradient descent learning algorithm. In this paper,... more
Pulsed Nd:YAG laser has high intensity and high quality beam characteristics, which can be used to produce micro-grooves and micro-turning surface on advanced engineering ceramics. The present research attempts to develop mathematical... more
Today, wire sawing of natural stone is undergoing widespread commercialization. In addition to rock extraction and processing with single wires, composed of a multitude of diamond-impregnated beads mounted onto a steel rope, this... more
The objective of this work is to highlight the modeling capabilities of artificial intelligence techniques for predicting the power requirements in machining process. The present scenario demands such types of models so that the... more
The circular diamond saw (CDS) is one of the major sawing machines in dimension stone processing plants. Predicting the performance of a circular diamond saw is very important to estimate the cost and the planning of the stone processing... more
In this study, models based on artificial neural networks (ANN) and regression analysis were developed to predict the surface roughness during the turning of red brass (C23000), using a high-speed steel (HSS) tool. The full factorial... more
Predicting the vibration of the circular sawing machine is very important in examining the performance of the sawing process, as it shows the amount of energy consumption of the circular sawing machine. Also, this factor is directly... more
A improved parallel Recurrent Neural Network (RNN) model and an improved dynamic Back-propagation (BP) method of its learning, are proposed. The RNN model is given as a two layer Jordan canonical architecture for both continuous and... more
This paper gives a review for applications of Genetic algorithm for multi-objective advanced planning and scheduling problem. At the start, different needs for Multi-objective advanced planning and scheduling problem is discussed for... more
Proper performance of water distribution networks (WDNs) plays a vital role in customer satisfaction. The aim of this study is to conduct a sensitivity analysis to evaluate the behavior of WDNs analyzed by a pressure-driven analysis (PDA)... more
One of the most signifi cant factors in the estimation of dimension stone quarry cost is the production rate of rock cutting machines. Evaluating the production rate of chain-saw machines is a very signifi cant and practical issue. In... more
The correct and proper selection of coolant and lubricant fluids in the dimension hard rocks' cutting process is one of the most important factors in the improvement of the cutting process, and in the increase of economic efficiency and... more
In this study aims to provide an accurate practical anticipation model for investigating the effect of cooling and lubricant fluid on the cutting performance with a special emphasis on the consumed electrical current as one of the most... more
Assessment of wear rate is an inseparable section of the sawability of dimension stone and an essential task to optimization in diamond wire saw performance. The aim of this research is to provide an accurate, practical and applicable... more
In this paper, the prediction of production rate of diamond wire saws was performed. Performance measurements of diamond wire saws were conducted on 14 different carbonate rocks in mines located in Iran. Rock samples were collected from... more
Throughout the history Petroleum drilling of wells, one of the most important problems of this industry is the lack of speed of drilling deep down. Rock mass or, in other words, the formation intended for drilling, as the drilling... more
Risk assessment of tunneling projects has been considered as one of the most notable topics in the geotechnical engineering. In this process, there is a significant collection of variables and uncertain data in identification and... more
Artificial neural networks (ANN) provide a range of powerful new techniques for solving problems in sensor data analysis, fault detection, process identification, and control and have been used in a diverse range of chemical engineering... more
Orthogonal tests on cylindrical workpieces were carried out to analyze the effect of heat treatment on the machinability of newly developed Ti54M titanium alloy in comparison with Ti64. This paper focuses on the comparison of forces and... more