Analysis of Shrinkage on Thick Plate Part using Genetic Algorithm

被引：34

作者：

Najihah, S. N. ^{[1
]}

Shayfull, Z. ^{[1
,2
]}

Nasir, S. M. ^{[1
,2
,3
]}

Saad, Mohd Sazli ^{[1
,2
]}

Rashidi, M. M. ^{[4
]}

Fathullah, M. ^{[1
,2
]}

Noriman, N. Z. ^{[5
]}

机构：

[1] Univ Malaysia Perlis, Sch Mfg Engn, Kampus Tetap Pauh Putra, Arau 02600, Perlis, Malaysia

[2] Univ Malaysia Perlis, Ctr Excellence Geopolymer & Green Technol CEGeoGT, Green Design & Mfg Res Grp, Kangar 01000, Perlis, Malaysia

[3] Univ Malaysia Perlis, Ctr Diploma Studies, Arau, Malaysia

[4] Univ Malaysia Pahang, Fac Mech Engn, Pekan 26600, Pahang, Malaysia

[5] Univ Malaysia Perlis, Fac Engn Technol FETech, Ctr Excellence Geopolymer & Green Technol CEGeoGT, UniCITI Alam, Level 1 Block S2, Arau, Malaysia

来源：

2ND INTERNATIONAL CONFERENCE ON GREEN DESIGN AND MANUFACTURE 2016 (ICONGDM 2016) | 2016年 / 78卷

关键词：

WARPAGE OPTIMIZATION; NEURAL-NETWORK; INJECTION; PARAMETERS; COMPOSITES;

D O I：

10.1051/matecconf/20167801083

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Injection moulding is the most widely used processes in manufacturing plastic products. Since the quality of injection improves plastic parts are mostly influenced by process conditions, the method to determine the optimum process conditions becomes the key to improving the part quality. This paper presents a systematic methodology to analyse the shrinkage of the thick plate part during the injection moulding process. Genetic Algorithm (GA) method was proposed to optimise the process parameters that would result in optimal solutions of optimisation goals. Using the GA, the shrinkage of the thick plate part was improved by 39.1% in parallel direction and 17.21% in the normal direction of melt flow.

引用

页数：12

共 21 条

[1] Optimizing the parameters in durian skin fiber reinforced polypropylene composites by response surface methodology [J].

Aimi, N. Nur ;

Anuar, H. ;

Manshor, M. R. ;

Nazri, W. B. Wan ;

Sapuan, S. M. .

INDUSTRIAL CROPS AND PRODUCTS, 2014, 54 :291-295

[2]

[Anonymous], 2013, INT REV MECH ENG

[3] SOLIDIFICATION OF THERMOVISCOELASTIC MELTS .2. EFFECTS OF PROCESSING CONDITIONS ON SHRINKAGE AND RESIDUAL-STRESSES [J].

BUSHKO, WC ;

STOKES, VK .

POLYMER ENGINEERING AND SCIENCE, 1995, 35 (04) :365-383

[4] Response surface methodology with prediction uncertainty: A multi-objective optimisation approach [J].

Chi, Guoyi ;

Hu, Shuangquan ;

Yang, Yanhui ;

Chen, Tao .

CHEMICAL ENGINEERING RESEARCH & DESIGN, 2012, 90 (09) :1235-1244

[5]

CHRISTOPHER RH, 1995, GENETIC ALGORITHM FU

[6] An effective warpage optimization method in injection molding based on the Kriging model [J].

Gao, Yuehua ;

Wang, Xicheng .

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2008, 37 (9-10) :953-960

[7] Analysis of warpage and shrinkage properties of injection-molded micro gears polymer composites using numerical simulations assisted by the Taguchi method [J].

Hakimian, Eghbal ;

Sulong, Abu Bakar .

MATERIALS & DESIGN, 2012, 42 :62-71

[8] The effective factors in the warpage problem of an injection-molded part with a thin shell feature [J].

Huang, MC ;

Tai, CC .

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2001, 110 (01) :1-9

[9]

Kamal Z., 1993, TROUBLE SHOOTING PLA

[10]

Korke S. S., 1997, ANAL MEASUREMENT WAR

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