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Title: :  “MODELING AND OPTIMIZATION OF PROCESS PARAMETERS DURING AWJM MACHINING OF DIE STEEL”
PaperId: :  2315
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 3 2016
DUI:    16.0415/IJARIIE-2315
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
PATEL DIVYKUMARM.E.C, Mehsana- 384315, Gujarat, India
MR. VIKRAMBHAI PATELM.E.C, Mehsana- 384315, Gujarat, India

Abstract

Mechanical Department
Abrasive water jet machine, kerf width, ANOVA, Surface roughness, material removal rate
In today’s scenario of manufacturing process, it is very hard to develop intricate shape with conventional machining process. This led to the development of non-conventional machining process. In industries it is used as efficient and economic alternatives to conventional ones. Abrasive Water Jet Machining AWJM is non-conventional mechanical process. AWJM is useful to cut complex shape parts which is difficult with conventional machining process. Here AISI 52100 steel used for die application, after applying heat treatment to AISI 52100, its mechanical properties are improved and it’s hard to machining. In this case AWJM is used for machining process. Quality and Productivity is performance indicator of any machining method, performance of AWJM is influenced by various input parameters. Selection of right improve parameter value improve output performance of machining and makes less difficult. For this aim to achieved high performance on AWJM, series of experiment is carried out to find effect of input parameter on output performance parameter. Three different process parameters were undertaken for this study; water pressure, nozzle transverse speed and abrasive flow rate. Experiments were conducted according to Taguchi’s design of experiments. Analysis of variance (ANOVA) was used to evaluate the data obtained to determine the major significant process factors statistically affecting the kerf characteristics. The results revealed that the nozzle transverse speed was the most significant factor affecting the kerf width. Also regression equation used to predict kerf width for vary process parameter.

Citations

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IJARIIE PATEL DIVYKUMAR, and MR. VIKRAMBHAI PATEL. "“MODELING AND OPTIMIZATION OF PROCESS PARAMETERS DURING AWJM MACHINING OF DIE STEEL”" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 1006-1014
MLA PATEL DIVYKUMAR, and MR. VIKRAMBHAI PATEL. "“MODELING AND OPTIMIZATION OF PROCESS PARAMETERS DURING AWJM MACHINING OF DIE STEEL”." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 1006-1014.
APA PATEL DIVYKUMAR, & MR. VIKRAMBHAI PATEL. (2016). “MODELING AND OPTIMIZATION OF PROCESS PARAMETERS DURING AWJM MACHINING OF DIE STEEL”. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 1006-1014.
Chicago PATEL DIVYKUMAR, and MR. VIKRAMBHAI PATEL. "“MODELING AND OPTIMIZATION OF PROCESS PARAMETERS DURING AWJM MACHINING OF DIE STEEL”." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 1006-1014.
Oxford PATEL DIVYKUMAR, and MR. VIKRAMBHAI PATEL. '“MODELING AND OPTIMIZATION OF PROCESS PARAMETERS DURING AWJM MACHINING OF DIE STEEL”', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, 2016, p. 1006-1014. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/“MODELING_AND_OPTIMIZATION_OF__PROCESS_PARAMETERS_DURING__AWJM_MACHINING_OF_DIE_STEEL”_ijariie2315.pdf (Accessed : ).
Harvard PATEL DIVYKUMAR, and MR. VIKRAMBHAI PATEL. (2016) '“MODELING AND OPTIMIZATION OF PROCESS PARAMETERS DURING AWJM MACHINING OF DIE STEEL”', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 1006-1014IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/“MODELING_AND_OPTIMIZATION_OF__PROCESS_PARAMETERS_DURING__AWJM_MACHINING_OF_DIE_STEEL”_ijariie2315.pdf (Accessed : )
IEEE PATEL DIVYKUMAR, and MR. VIKRAMBHAI PATEL, "“MODELING AND OPTIMIZATION OF PROCESS PARAMETERS DURING AWJM MACHINING OF DIE STEEL”," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, pp. 1006-1014, May-Jun 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/“MODELING_AND_OPTIMIZATION_OF__PROCESS_PARAMETERS_DURING__AWJM_MACHINING_OF_DIE_STEEL”_ijariie2315.pdf [Accessed : ].
Turabian PATEL DIVYKUMAR, and MR. VIKRAMBHAI PATEL. "“MODELING AND OPTIMIZATION OF PROCESS PARAMETERS DURING AWJM MACHINING OF DIE STEEL”." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 ().
Vancouver PATEL DIVYKUMAR, and MR. VIKRAMBHAI PATEL. “MODELING AND OPTIMIZATION OF PROCESS PARAMETERS DURING AWJM MACHINING OF DIE STEEL”. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(3) : 1006-1014. Available from: https://ijariie.com/AdminUploadPdf/“MODELING_AND_OPTIMIZATION_OF__PROCESS_PARAMETERS_DURING__AWJM_MACHINING_OF_DIE_STEEL”_ijariie2315.pdf
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