Academia.eduAcademia.edu

Figure 2 – uploaded by Andrea Major Ádámné

See full PDFdownloadDownload figure
Fig. 2. SEM micrograph of the fractured surface of the composite containing 1% nanotube, 10% ABS, and 89% PC

Figure 2 SEM micrograph of the fractured surface of the composite containing 1% nanotube, 10% ABS, and 89% PC

Related Figures (7)

Fig. 1. SEM micrograph of the fractured surface of the composite containing 1% nanotube, 90% ABS, and 9% PC
Fig. 1. SEM micrograph of the fractured surface of the composite containing 1% nanotube, 90% ABS, and 9% PC
Fig. 4. Linguistic term shifting The next step of LESFRI is the compilation of an d-level set that contains all levels corresponding to the break-points of the shifted sets on the current (left or right) side. One calculates a characteristic point of the new set for each Q-level so that the distances between the Q-cut endpoints of the shifted sets and the new characteristic point to be minimal by the means of the weighted least squares methods. The weighting expresses that the linguistic terms situated originally in farther portions of the partition should have a weaker effect on the result than those situated originally in closer neighborhood of the observation. The rest of the set shape is determined by connecting the neighboring characteristic points with lines. After determining the shape of the antecedent sets of the
Fig. 4. Linguistic term shifting The next step of LESFRI is the compilation of an d-level set that contains all levels corresponding to the break-points of the shifted sets on the current (left or right) side. One calculates a characteristic point of the new set for each Q-level so that the distances between the Q-cut endpoints of the shifted sets and the new characteristic point to be minimal by the means of the weighted least squares methods. The weighting expresses that the linguistic terms situated originally in farther portions of the partition should have a weaker effect on the result than those situated originally in closer neighborhood of the observation. The rest of the set shape is determined by connecting the neighboring characteristic points with lines. After determining the shape of the antecedent sets of the
Fig. 5. Rule base of the fuzzy model describing the relation between Charpy impact strength (CIS) and the nanotube and ABS amount We used the root mean square of the error expressed in percentage of the output variable’s range (RMSEP) as
Fig. 5. Rule base of the fuzzy model describing the relation between Charpy impact strength (CIS) and the nanotube and ABS amount We used the root mean square of the error expressed in percentage of the output variable’s range (RMSEP) as
Figure 6. Rule base of the fuzzy model describing the relation between Yield strength (YS) and the nanotube and ABS amount
Figure 6. Rule base of the fuzzy model describing the relation between Yield strength (YS) and the nanotube and ABS amount
Figure 7. Measured and calculated values in case of the Charpy impact strength (CIS) model The paper presented the application of RBE-DSS rule base identification and LESFRI fuzzy rule inference methods for fuzzy modeling of the relation between the mechanical properties of the thermoplastic composites and the percent amount of their components. The models were evaluated using RMSEP as performance indicator. Conform the testing results the two generated models proved to be good predictors of the studied process.
Figure 7. Measured and calculated values in case of the Charpy impact strength (CIS) model The paper presented the application of RBE-DSS rule base identification and LESFRI fuzzy rule inference methods for fuzzy modeling of the relation between the mechanical properties of the thermoplastic composites and the percent amount of their components. The models were evaluated using RMSEP as performance indicator. Conform the testing results the two generated models proved to be good predictors of the studied process.
Figure 8. Measured and calculated values in case of the Yield strength (YS) model
Figure 8. Measured and calculated values in case of the Yield strength (YS) model
Related topics:
Computer Science
580 California St., Suite 400
San Francisco, CA, 94104
© 2025 Academia. All rights reserved