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Advances in CAD/CAM/CAE Technologies

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 hig...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Kyratsis, Panagiotis, Markopoulos, Angelos P., Kakoulis, Konstantinos
Format: Online
Sprache:Englisch
Veröffentlicht: MDPI - Multidisciplinary Digital Publishing Institute 2021
Schlagworte:
TA1-2040
T1-995
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
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Online-Zugang:46119
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Zusammenfassung: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.

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