Advances in CAD/CAM/CAE Technologies

Kyratsis, Panagiotis; Markopoulos, Angelos P.; Kakoulis, Konstantinos

doi:10.3390/books978-3-03928-741-3

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https://mdpi.com/books/pdfview/book/2313

Author(s)

Kyratsis, Panagiotis

Markopoulos, Angelos P.

Kakoulis, Konstantinos

Language

English

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Abstract

CAD/CAM/CAE technologies find more and more applications in today’s industries, e.g., in the automotive, aerospace, and naval sectors. These technologies increase the productivity of engineers and researchers to a great extent, while at the same time allowing their research activities to achieve higher levels of performance. A number of difficult-to-perform design and manufacturing processes can be simulated using more methodologies available, i.e., experimental work combined with statistical tools (regression analysis, analysis of variance, Taguchi methodology, deep learning), finite element analysis applied early enough at the design cycle, CAD-based tools for design optimizations, CAM-based tools for machining optimizations.

URI

https://directory.doabooks.org/handle/20.500.12854/40241

Keywords

topology management optimization; radial basis function neural network; polyester coating; wear; cutting torque; graphite; disk to disk test; friction behavior; SOLIDWORKS; fatigue; ball burnishing; surface topography; radial impeller; analysis of variance (ANOVA); induction hardening; numerical simulation; milling; Taguchi method; CAD teaching; gear reducer housings; mechanical post-treatment; multi-layer perceptron; power transmission; drilling; thrust force; finite element analysis; open-source CAD software; teaching/learning strategies; friction; solid lubricants particles; Al6082-T6; licensed CAD; adaptive neuro-fuzzy inference system; computer-aided manufacturing (CAM); molybdenum disulfide; CNC machining; multiple regression; Grey analysis; pattern design