Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ming-Tsan Chuang"'
Publikováno v:
Expert Systems with Applications. 36:10752-10759
This paper deals with the application computer-aided engineering integrating with statistical technique to reduce warpage variation depended on injection molding process parameters during production of thin-shell plastic components. For this purpose,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::459ef533c897bd8651019b61647e665a
https://doi.org/10.1016/j.eswa.2009.02.017
https://doi.org/10.1016/j.eswa.2009.02.017
Publikováno v:
Polymer-Plastics Technology and Engineering. 48:745-753
This paper deals with the application response surface methodology (RSM) integrating with statistical technique to discuss variation of warpage and tensile stress properties depended on injection molding parameters during production of thin-shell pla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9acfa1ccd8253c268431ac0539bad88
https://doi.org/10.1080/03602550902824630
https://doi.org/10.1080/03602550902824630
Publikováno v:
Journal of Materials Processing Technology. 209:4395-4400
This investigation applied the designs of experiments (DOE) approach to optimize parameters of a computer numerical control (CNC) in end milling for high-purity graphite under dry machining. The groove difference (i.e., dimensional accuracy of groove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43088fb555a8c77cd621df5f2d9b6fa7
https://doi.org/10.1016/j.jmatprotec.2008.11.021
https://doi.org/10.1016/j.jmatprotec.2008.11.021
Publikováno v:
The Open Industrial & Manufacturing Engineering Journal. 2:14-20
This study investigated the optimization of computer numerical control (CNC) boring operation parameters for aluminum alloy 6061T6 using the grey relational analysis (GRA) method. Nine experimental runs based on an orthogonal array of Taguchi method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23aa01de2b615ab1d6f08f3d74e1e494
https://doi.org/10.2174/1874152500902010014
https://doi.org/10.2174/1874152500902010014