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Optimization of Debinding Process Parameters in Metal Injection Molding (MIM) for High Density of Sintered Parts


 
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1. Title Title of document Optimization of Debinding Process Parameters in Metal Injection Molding (MIM) for High Density of Sintered Parts
 
2. Creator Author's name, affiliation, country Praveen Pachauri; Department of Mechanical Engineering, Noida Institute of Engineering & Technology, Greater Noida, Uttar Pradesh, India
 
2. Creator Author's name, affiliation, country Mohammed Hamiuddin; Departments of Mechanical Engineering Aligarh Muslim University, Aligarh, Uttar Pradesh, India
 
3. Subject Discipline(s) Mechanical Engineering
 
3. Subject Keyword(s) Analysis of Variance (ANOVA); Debinding; Orthogonal Array; Metal Injection Moulding (MIM); Taguchi Method
 
3. Subject Subject classification Powder Injection Molding
 
4. Description Abstract

The identification of significant process parameters during debinding of green parts in Metal Injection Moulding (MIM) is needed to control the characteristics of brown parts. A small change in these parameters can cause large variation in the density of the parts produced by MIM. The controlled parameters used for optimization in this work include the thermal debinding temperature (Ttd), solvent debinding temperature (Tsd), and isothermal holding time (tih). These parameters have been optimized using analysis of variance (ANOVA) for signal to noise ratios obtained in experiment performed by following Taguchi L9 orthogonal array. The ANOVA also provides the contribution of significant process parameters to final density. Results show that two of the three factors are the significant factors. The solvent debinding temperature (Tsd) and thermal debinding temperature (Ttd) are the significant factors. Isothermal holding time (tih) found to be insignificant factor and its contribution is combined as error in pooling. Solvent debinding temperature (Tsd) has the maximum contribution of 85.79% at a confidence level of 99%, and thermal debinding temperature has a contribution of 13.39% at a confidence interval of 95%.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s) Noida Institute of Engineering & Technology
 
7. Date (YYYY-MM-DD) 2016-06-11
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type Taguchi Approach
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJAMME/article/view/Tech-585
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Materials and Metallurgical Engineering; Published Papers
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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