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Dergiler / European Mechanical Science / 2017 / Cilt: 1 - Sayı: 2

A hybrid approach for the prediction and optimization of cutting forces using grey-based fuzzy logic

Ugur ESME
Sayfa
47–55
Yayın Tarihi
2017-06-15
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The results also show the application feasibility of the grey based fuzzy algorithm for continuous improvement in product quality in complex manufacturing processes.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:This study focused on the Grey-Based Fuzzy Logic Algorithm for the prediction and optimization of multiple performance characteristics of oblique turning process.
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Temel Bulgular & Veri:Experiments have been constructed according to Taguchi’s L16 orthogonal array design matrix.
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Sonuç & Katkı:The results also show the application feasibility of the grey based fuzzy algorithm for continuous improvement in product quality in complex manufacturing processes.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Turning process · cutting forces · grey relation analysis

Abstract

This study focused on the Grey-Based Fuzzy Logic Algorithm for the prediction and optimization of multiple performance characteristics of oblique turning process. Experiments have been constructed according to Taguchi’s L16 orthogonal array design matrix. Cutting speed, rate of feed and depth of cut were selected as input parameters, whereas material removal rate, cutting force and surface roughness were selected as output responses. Using grey relation analysis (GRA), grey relational coefficient (GRC) and grey relation grade (GRG) were obtained. Then, Grey based fuzzy algorithm was applied to obtain grey fuzzy reasoning grade (GFRG). Analysis of variance (ANOVA) carried out to find the significance and contribution of parameters on multiple performance characteristics. Finally, confirmation test was applied at the optimum level of GFRG to validate the results. The results also show the application feasibility of the grey based fuzzy algorithm for continuous improvement in product quality in complex manufacturing processes.

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Bu Makaleye Atıf Yap

ESME, U. (2017). A hybrid approach for the prediction and optimization of cutting forces using grey-based fuzzy logic. European Mechanical Science, Cilt: 1 - Sayı: 2, 47–55. https://ajindex.com/articles/665220

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Kaynakça (7)

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