tailieunhanh - Woven Fabric Engineering Part 7

Tham khảo tài liệu 'woven fabric engineering part 7', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Prediction of Fabric Tensile Strength by Modelling the Woven Fabric 165 Fig. 4. Comparison of modelling methods The final stage of the new modelling methodology is to make a verification of finding the optimum fabric strength with GA-ANN hybrid modelling technique as the best methodology. Warp density as the most important factor affecting the fabric strength is found with the Taguchi Design of Experiment Methodology and whether there have been in interval values of optimum parameter setting is tested by increasing from 33 to 38. The verification of TDOE results with GA-ANN hybrid modelling technique for interval values of warp density from 33 warp cm to 38 warp cm is shown in figure 5. Verification of TDOE results with GA-ANN 1650 1600 1550 1500 1450 1400 1350 1300 1250 Variance of Warp Density Fig. 5. Interval values of warp density 4. Conclusion In this study traditional and computational modelling techniques are compared between each other to predict woven fabric strength that is one of the main features for the characterization of woven fabric quality and fabric performance. Compared the other 166 Woven Fabric Engineering classical modelling techniques computational modelling methodology seems to have been more robust and appropriate. This study made in a textile Factory producing jacquard woven bedding fabric in Turkey has many benefits for textile manufacturers to reduce waste and scrap ratio before and during manufacturing. Firstly production planning function in the plant will be able to predict the woven fabric strength easily to be known optimal parameter setting before manufacturing. Secondly The significant parameter in the manufacturing was found as Warp Density. Thirdly after finding the optimum parameter setting with TDOE interval values of the sensitive parameters in the production was found with ANN approach. According to the data collected from manufacturing Process of factory in Zeydan s paper 2008 Taguchi Design of Experiment methodology was .