Classification of surface roughness for CNC face milling of Inconel 625 superalloy utilizing cutting force signal features with SVM and ANN

Chauhan, Shailendra S.; Trehan, Rajeev; Singh, Ravi Pratap

doi:10.1016/j.matpr.2023.07.101

Materials Today: Proceedings

2023

DOI: 10.1016/j.matpr.2023.07.101

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Classification of surface roughness for CNC face milling of Inconel 625 superalloy utilizing cutting force signal features with SVM and ANN

Shailendra S. Chauhan

Rajeev Trehan

Ravi Pratap Singh

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2024

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Cited by 1 publication

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Optimization and modelling of WCEDM process parameters for GZR-AA7475 HMMC using GRA and Taguchi approach

Singuru,

V.V.S.,

Chekuri

2024

WJE

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Purpose This study aims to investigate the optimal process parameters of the wire-cut electrical discharge machining (WCEDM) for the machining of the GZR-AA7475 hybrid metal matrix composite (HMMC). HMMCs are prepared with 2 Wt.% graphite and 4 Wt.% zirconium dioxide reinforced with aluminium alloy 7475 (GZR-AA7475) composite by using the stir casting method. The objective is to enhance the mechanical properties of the material while preserving its unique features. WCEDM with a 0.18 mm molybdenum wire electrode is used for machining the composite. Design/methodology/approach To conduct experimental studies, a Taguchi L27 orthogonal array was adopted. Input variables such as peak current (Ip), pulse-on-time (TON) and flushing pressure (PF) were used. The effect of process parameters on the output responses, such as material removal rate (MRR), surface roughness rate (SRR) and wire wear ratio (WWR), were investigated. The grey relational analysis (GRA) is used to obtain the optimal combination of the process parameters. Analysis of variance (ANOVA) was also used to identify the significant process parameters affecting the output responses. Findings Results from the current study concluded that the optimal condition for grey relational grade is obtained at TON = 105 µs, Ip = 100 A and PF = 90 kg/cm2. Peak current is the most prominent parameter influencing the MRR, whereas SRR and WRR are highly influenced by flushing pressure. Originality/value Identifying the optimal process parameters in WCEDM for machining of GZR-AA7475 HMMC. ANOVA and GRA are used to obtain the optimal combination of the process parameters.

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Optimization and modelling of WCEDM process parameters for GZR-AA7475 HMMC using GRA and Taguchi approach

Singuru,

V.V.S.,

Chekuri

2024

WJE

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Classification of surface roughness for CNC face milling of Inconel 625 superalloy utilizing cutting force signal features with SVM and ANN

Cited by 1 publication

References 22 publications

Optimization and modelling of WCEDM process parameters for GZR-AA7475 HMMC using GRA and Taguchi approach

Optimization and modelling of WCEDM process parameters for GZR-AA7475 HMMC using GRA and Taguchi approach

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