LEADER 03182nam 2200817z- 450 001 9910404078703321 005 20210211 010 $a3-03928-741-9 035 $a(CKB)4100000011302351 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/40241 035 $a(oapen)doab40241 035 $a(EXLCZ)994100000011302351 100 $a20202102d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvances in CAD/CAM/CAE Technologies 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 online resource (116 p.) 311 08$a3-03928-740-0 330 $aCAD/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. 606 $aHistory of engineering and technology$2bicssc 610 $aadaptive neuro-fuzzy inference system 610 $aAl6082-T6 610 $aanalysis of variance (ANOVA) 610 $aball burnishing 610 $aCAD teaching 610 $aCNC machining 610 $acomputer-aided manufacturing (CAM) 610 $acutting torque 610 $adisk to disk test 610 $adrilling 610 $afatigue 610 $afinite element analysis 610 $afriction 610 $afriction behavior 610 $agear reducer housings 610 $agraphite 610 $aGrey analysis 610 $ainduction hardening 610 $alicensed CAD 610 $amechanical post-treatment 610 $amilling 610 $amolybdenum disulfide 610 $amulti-layer perceptron 610 $amultiple regression 610 $anumerical simulation 610 $aopen-source CAD software 610 $apattern design 610 $apolyester coating 610 $apower transmission 610 $aradial basis function neural network 610 $aradial impeller 610 $asolid lubricants particles 610 $aSOLIDWORKS 610 $asurface topography 610 $aTaguchi method 610 $ateaching/learning strategies 610 $athrust force 610 $atopology management optimization 610 $awear 615 7$aHistory of engineering and technology 700 $aKyratsis$b Panagiotis$4auth$01280217 702 $aMarkopoulos$b Angelos P$4auth 702 $aKakoulis$b Konstantinos$4auth 906 $aBOOK 912 $a9910404078703321 996 $aAdvances in CAD$93040678 997 $aUNINA