Optimization of Injection Process Parameters Based on Grey Theory

2013 ◽  
Vol 711 ◽  
pp. 166-172
Author(s):  
Jiang Dong Cao ◽  
Jian Bo Ding ◽  
Lei Gang Wang
Keyword(s):  
Product Development ◽  
Process Parameters ◽  
Optimal Level ◽  
Variance Analysis ◽  
Grey Theory ◽  
Grey System ◽  
Injection Process ◽  
Factors Influencing ◽  
Orthogonal Experiments ◽  
Relational Degree

Abstract. In this paper injection process for industry production is just a grey system which have problems of complex representation and discrete data. Orthogonal experiments have been designed to obtain the value of shrinkage and warp. The lower value of the two objects is better. After data obtained in experiments are dealt with by grey theory, relational degree had been calculated. With variance analysis the optimal level of the factors influencing the value of the two objects have been find out, then a optimal group of the process parameters has been obtained. Through simulation in computer, the warp is less than 0.5 mm, the shrinkage is less than 0.5%. The requirements of the product have been satisfied. In this method the factors had been considered before mould is tested comprehensively. Time and cost of product development have been decreased greatly. It is believed that the method is valuable in actual product.

Experimental Study on Laser Plasticizing Polyamide 12

2012 ◽  
Vol 472-475 ◽  
pp. 2514-2518
Author(s):  
Wen Sheng Tan ◽  
Jian Zhong Zhou ◽  
Shu Huang ◽  
Yu Jie Fan
Keyword(s):  
Process Parameters ◽  
Beam Diameter ◽  
Laser Materials ◽  
Influence Of Process Parameters ◽  
Scanning Velocity ◽  
Polyamide 12 ◽  
Injection Process ◽  
Orthogonal Experiments ◽  
Environment Temperature ◽  
Sequence Rule

Considering the efficiency and microscale requirement of melting polymer in micro-injection process, we present an experimental analysis of the CO2 laser irradiating Polyamide 12 (PA12) based on the photo-thermal effect of laser-materials interaction. The orthogonal experiments of laser plasticizing were designed by Taguchi method of Minitab software, the influence of process parameters on PA12 plasticization was investigated, and the effect sequence rule of the experiment parameters to melting depth was analyzed. Accordingly，the optimal process parameters combination on PA12 plasticization were obtained，i.e. laser power 3 W, beam diameter 2 mm, scanning velocity 200 mm/min, scanning distance 0.5 mm and environment temperature 20°C.

Optimization of Coating Thickness in a Tangential Fluidized Bed

2014 ◽  
Vol 625 ◽  
pp. 131-135
Author(s):  
Ku Zilati Ku Shaari ◽  
Luqman Hakim Hassan ◽  
Zakaria Man
Keyword(s):  
Fluidized Bed ◽  
Air Temperature ◽  
Process Parameters ◽  
Coating Thickness ◽  
Rotation Speed ◽  
Variance Analysis ◽  
Factors Influencing ◽  
Significant Process ◽  
Disc Rotation ◽  
Disc Rotation Speed

The focal intention of this research was to investigate the factors influencing the coating thickness of urea granule by using modified biopolymer which performed in a tangential fluidized bed. The effects of inlet air temperature, disc rotation speed and spraying rate on coating thickness of urea granule were investigated. In this study, the results showed that the significant process parameters which effect the coating thickness was spraying rate (58.585%), followed by disc rotation speed (21.579%) and inlet air temperature (18.883%). The optimized process parameters in this work were 400C for inlet air temperature, 40 rpm for disc rotation speed and 2 rpm for spraying rate. The confirmation run for this work had verified the conclusion from the variance analysis.

Study on Influences of Injection Process Parameters on the Mechanical Properties of the Modified Polypropylene Products with Weld Lines

2010 ◽  
Vol 139-141 ◽  
pp. 698-701
Author(s):  
Yu Qiang Qian ◽  
You Song Sun ◽  
Xiao Ting Xiao ◽  
Guo Hua Yang
Keyword(s):  
Mechanical Properties ◽  
Mechanical Strength ◽  
Process Parameters ◽  
Impact Resistance ◽  
Difficult Problem ◽  
Injection Process ◽  
Orthogonal Experiments ◽  
Molded Parts ◽  
Higher Temperature ◽  
Welding Joints

Influence of weld lines is important to the mechanical properties of the modified polypropylene products. Orthogonal experiments are adopted to confirm injection process parameters for such mechanical properties as impact resistance and tensibility of the modified polypropylene injection-molded parts in weld lines. The factors which affect the mechanical properties at welding joints product vary, and how to select rational parameters is a difficult problem for production. The mechanical strength can be increased through higher temperature, lower injecting pressure, higher velocity of filling, higher packing pressure and longer packing time. The specifications of cross section in weld lines of the products are analyzed to illustrate the theory of fracture. In order to increase mechanical strength of the sample, the length of hot weld lines should be increased and the length of cold welding joints should be decreased through adjusting the process parameter.

Effect of Micro-Injection Molding Process Parameters for Various Micro-Channels

2011 ◽  
Vol 483 ◽  
pp. 53-57 ◽  
Author(s):  
Duo Yang ◽  
Chong Liu ◽  
Zheng Xu ◽  
Ji Zhang Wang ◽  
Li Ding Wang
Keyword(s):  
Injection Molding ◽  
Process Parameters ◽  
Mold Temperature ◽  
Injection Molding Process ◽  
Molding Process ◽  
Injection Process ◽  
Orthogonal Experiments ◽  
Micro Channels ◽  
Principal Factors ◽  
Replication Accuracy

Micro-channels were the main microstructures in most micro-fluidic devices. In this paper, the effects of injection molding process parameters on the replicability of micro-channels profile are studied. Orthogonal experiments (Taguchi method) are carried out to establish the relationship between injection process parameters and replication accuracy for various micro-channels. Experimental results show that mold temperature and packing pressure are the principal factors in molding process. The replication accuracy depends strongly on the processing conditions. The replication accuracy reached about 99.84% using the optimum parameters.

scholarly journals Numerical Simulation and Engineering Application of Coalbed Water Injection

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Yijie Shi ◽  
Pengfei Wang ◽  
Ronghua Liu ◽  
Xuanhao Tan ◽  
Wen Zhang
Keyword(s):  
Numerical Simulation ◽  
Process Parameters ◽  
Water Injection ◽  
Engineering Application ◽  
Working Environment ◽  
Engineering Practice ◽  
Characteristic Parameters ◽  
Injection Process ◽  
Working Face ◽  
Dust Reduction

Coalbed water injection is the most basic and effective dust-proof technology in the coal mining face. To understand the influence of coalbed water injection process parameters and coalbed characteristic parameters on coal wetting radius, this paper uses Fluent computational fluid dynamics software to systematically study the seepage process of coalbed water injection under different process parameters and coalbed characteristic parameters, calculation results of which are applied to engineering practice. The results show that the numerical simulation can help to predict the wetness range of coalbed water injection, and the results can provide guidance for the onsite design of coalbed water injection process parameters. The effect of dust reduction applied to onsite coalbed water injection is significant, with the average dust reduction rates during coal cutting and support moving being 67.85% and 46.07%, respectively, which effectively reduces the dust concentration on the working face and improves the working environment.

Factors Influencing Innovation and Industrial Performance in Chinese Manufacturing Industry

2017 ◽  
Vol 14 (06) ◽  
pp. 1750040 ◽  
Author(s):  
Nnaemeka Vincent Emodi ◽  
Girish Panchakshara Murthy ◽  
Chinenye Comfort Emodi ◽  
Adaeze Saratu Augusta Emodi
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Product Innovation ◽  
Manufacturing Industry ◽  
Positive Impact ◽  
Export Performance ◽  
Patent Application ◽  
New Product ◽  
Factors Influencing ◽  
Industrial Performance

This study investigates the factors influencing the Chinese manufacturing industry’s innovation and industrial performance utilizing a panel data approach on a sample of Chinese manufacturing enterprises over the period of 2008–2013. The industries were grouped according to related sectors into five groups, a general group was also created which included the whole data sample. The study found that research and development (R&D) expenditure positively influenced the growth of product innovation and industrial performance, but not necessarily knowledge innovation and export performance. Also, expenditure on new product development had a positive impact on both innovation and industrial performance. The growth of patent application was discovered to be influenced by an R&D project and foreign patent license. Finally, the number of enterprises and firm size (i.e. number of employees) contributed positively to the industrial output performance. The findings suggest that industrial R&D and new product development influences the success of product innovation and sales performance. The study recommends that the government should set up policies that will stimulate industrial R&D, while supporting technology transfers from foreign partners. Most importantly, government policies on the development of the industry should be addressed on a sectorial level and not a “one-size-fit-all” type of policy.

The Optimization of Threshold Value of the Relational Degree in Grey Theory Method for Fault Diagnosis

1997 ◽  
Author(s):  
Y. H. Liu ◽  
F. Ma
Keyword(s):  
Fault Diagnosis ◽  
Error Rate ◽  
Threshold Value ◽  
Grey Theory ◽  
Theory Method ◽  
Optimal Range ◽  
Relational Degree ◽  
New Ideas

Abstract In this paper, optimization of the threshold value of the relational degree in Grey Theory method for fault diagnosis is considered. With an emphasis on minimizing both the error rate and miss rate of fault diagnosis, new ideas are proposed to determine the optimal range of the threshold value. A practical example is given to demonstrate the feasibility of the proposed method.

scholarly journals Penambahan Molases Untuk Meningkatkan Kualitas Amoniasi Jerami Padi dan Pengaruhnya terhadap Produk Fermentasi Rumen Secara In-Vitro

2010 ◽  
Vol 10 (2) ◽  
pp. 27-33
Author(s):  
Muhamad Bata ◽  
Nur Hidayat
Keyword(s):  
Protein Synthesis ◽  
Orthogonal Polynomial ◽  
Rice Straw ◽  
Rumen Fluid ◽  
Research Result ◽  
Nutrient Content ◽  
Optimal Level ◽  
Variance Analysis

Supplementation of molasses to improve the quality of rice straw ammonization and its effect on fermentation product in-vitroABSTRACT. Aimed of this research was to find out the optimal level of molasses addition at straw rice ammonization process to N-NH3 production, VFA and microbe protein synthesis. Material used was rumen fluid of fistula cattle, rice straw, water, urea and molasses. Treatment tried was level of molasses addition 0%, 15% and 30% on rice straw which given urea. Research was carried out by experimental method as in vitro, was conducted use completely randomized design. Variable measured were N-NH3, VFA and microbe protein synthesis. Intake data entered in data tabulation and analyzed variance then continued by orthogonal polynomial test. Research result after ammonization indicated that acidity level and concentration of released NH3 decrease parallel with addition of molasses level, and also increase the nutrient content which was crude protein increase and crude fiber decrease. Variance analysis and Test of orthogonal polynomial result indicated that treatment of molasses addition have highly significant effect (P0.01) and linier respond to concentration of released NH3 after ammonization. Research result as in vitro indicated concentration N-NH3 and VFA total decrease while microbe protein synthesis increase. Variance analysis result indicated that molasses addition treatment at straw rice ammonization process have highly significant (P 0.01) on concentration of N-NH3, VFA total and Microbe Protein Synthesis. Test of orthogonal polynomial for molasses addition at straw rice ammonization process indicated linier respond on concentration of NH3 N-NH3 and VFA total, but microbe protein synthesis quadratic had respond (P 0,01) white regression equation Y= 52.187-1.089222X + 0.11X2 (r2) 87.27 and (r) 0.9341. Research result could conclude that molasses addition up to level 30% able to improve quality of straw rice ammonization process by NH3 fixation so that increase nutrient ingredient, decrease NH3 that lost to atmosphere, improve utilization of N-NH3 and VFA and also increase microbe protein synthesis.

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