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Intelligent manufacturing applied to additive manufactured polymer gears
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Zhang, Ye (2020) Intelligent manufacturing applied to additive manufactured polymer gears. PhD thesis, University of Warwick.
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WRAP_Theses_ZhangYe_2020.pdf - Submitted Version - Requires a PDF viewer. Download (4Mb) | Preview |
Official URL: http://webcat.warwick.ac.uk/record=b3710767
Abstract
Nylon spur gears were 3D printed using Nylon 618, Nylon 645, alloy 910 filaments, together with Onyx and Markforged nylon proprietary materials, with wear rate tests performed on a custom-built gear wear test rig. The results showed that Nylon 618 provided the best wear performance among the 5 different 3D printing materials tested. It is hypothesised that the different mechanical performance between nylon filaments was caused by differences in crystallinity and uniqueness of the Fused Deposition Modelling (FDM) process. The performance results showed that gears 3D printed using Nylon 618 actually performed better than injection moulded nylon 66 gears when low to medium torque was applied. The selection of printing parameters for 3D printing can dramatically affect the dynamic performance of components such as polymer spur gears. Performance of 3D printed gears has been optimised using a machine learning process. A genetic algorithm (GA)–based artificial neural network (ANN) multi-parameter regression model was created. There were four print parameters considered in 3D printing process, i.e. printing temperature, printing speed, printing bed temperature and infill percentage. The parameter setting was generated by the Sobol sequence. Moreover, sensitivity analysis was carried out, and leave-one cross validation was applied to the genetic algorithm-based ANN which showed a relatively accurate performance in predictions and performance optimisation of 3D printed gears.
Small-angle X-ray scattering (SAXS), wide-angle X-ray scattering (WAXS), differential scanning calorimetry (DSC), X-ray fluorescence (XRF) and Fourier-transform infrared (FTIR) test were carried out to analyse the influence from different Nylon materials to the dynamic performance and mechanical properties of 3D printed gears, and demonstrate the intrinsic links between processing parameter, mechanical performance, and materials. Various of computer simulation has been carried out to test the different loading scenario affecting gear and materials performance. The Objective of this project is to improve the performance of the 3D printed polymer gears.
Item Type: | Thesis (PhD) | ||||
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TS Manufactures |
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Library of Congress Subject Headings (LCSH): | Mechanical wear -- Testing, Gearing, Polymers -- Industrial applications, Additive manufacturing, Three-dimensional printing -- Industrial applications | ||||
Official Date: | February 2020 | ||||
Dates: |
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Institution: | University of Warwick | ||||
Theses Department: | School of Engineering | ||||
Thesis Type: | PhD | ||||
Publication Status: | Unpublished | ||||
Supervisor(s)/Advisor: | Mao, Ken ; Leigh, Simon J. | ||||
Format of File: | |||||
Extent: | ix, 131 leaves : illustrations | ||||
Language: | eng |
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