statistical software package minitab version 14 (Minitab Inc)
90
Structured Review
Minitab Inc
statistical software package minitab version 14
Statistical Software Package Minitab Version 14, supplied by Minitab Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/minitab-14+version+statistical+software+package/minitab+software/10__1016_slash_j__bcab__2019__101216-90-19-20
Average 90 stars, based on 1 article reviews
Statistical Software Package Minitab Version 14, supplied by Minitab Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/minitab-14+version+statistical+software+package/minitab+software/10__1016_slash_j__bcab__2019__101216-90-19-20
Average 90 stars, based on 1 article reviews
statistical software package minitab version 14 - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: An experimental investigation and optimisation of performance characteristics in EDM of EN-24 alloy steel using Taguchi Method and Grey Relational Analysis Article Snippet: This investigation addresses exploration of electrical discharge machining (EDM) process on EN-24 alloy steel using Taguchi robust design approach and multi Objective Grey Relational Grade with four controllable input parameters such as Pulse on time (TON), Pulse off time (Toff), Peak current (I P) and Flushing pressure (Fp)for analysis of Material removal rate (MRR) and Tool wear rate (TWR).The design matrix for experimentation with different treatment conditions are chosen utilising L9 orthogonal array.. From detailed study, it is found that different combinations of EDM process parameters are necessary to achieve enhanced MRR and reduced TWR for EN-24 alloy steel.. The objective function S/N (Signal to Noise) ratio and analysis of variance (ANOVA) are used to analyse the predominant effect of the input parameters on MRR and TWR as well as to establish the optimum setting level of control factors with significant contribution of input controllable parameters on output responses. |