Optimization of process parameters for centrifugal cast single point cutting tools using Grey-Taguchi technique

Mohapatra, Shubhashree; Sarangi, Hrushikesh; Mohanty, U. K.

doi:10.1016/j.matpr.2022.11.001

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…The ANOVA results, as presented in Table 8, indicate that milling depth and advanced speed have influences of 2.5%, and 74.4.4%, respectively, on the GRG values. Consequently, it was determined, with 95% confidence, that the advance speed has the most significant effect on the GRG value; a similar conclusion was found in [24]. The response Table 9 indicates the same factors influence (because advanced speed has Rank 1).…”

Section: Multi-response Analysissupporting

confidence: 56%

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Multi-Response Optimization Analysis of the Milling Process of Asphalt Layer Based on the Numerical Evaluation of Cutting Regime Parameters

et al. 2023

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The present study aimed to optimize the process parameters (milling depth and advanced speed) for an asphalt milling operation using a multi-response approach based on Taguchi design of experiments (DOE) and Grey Relational Analysis (GRA). Nine simulations tests were conducted using Discrete Element Method (DEM) in order to determine the forces acting on the cutting tooth support and tip. The considered performance characteristics were cutting forces (smaller is better category) and chip section area (larger is better category). A Grey Relational Grade (GRG) was determined from GRA, allowing to identify the optimal parameter levels for the asphalt milling process with multiple performance characteristics. It was found that that the optimal milling parameters for multi-response analysis are a milling depth of 200 mm and an advanced speed of 30 mm/min. Furthermore, analysis of variance (ANOVA) was used to determine the most significant factor influencing the performance characteristics. The analysis results revealed that the dominant factor affecting the resultant cutting force was milling depth, while the main factor affecting chip section area was the advanced speed. Optimizing milling efficiency is essential in machining operations. A key factor in this direction is comprehending the interplay between chip removal and cutting forces. This understanding is fundamental for achieving increased productivity, cost-effectiveness, and extended tool lifespan during the milling process.

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Section: Multi-response Analysissupporting

confidence: 56%

“…Mohapatra et al [24] determined the optimal cutting parameters by applying an optimization technique to minimize both flank surface wear and surface roughness. Through ANOVA analysis, it was observed that the feed parameter contributed the most, with a significant contribution of 40.57%, towards minimizing surface roughness.…”

Section: Introductionmentioning

confidence: 99%

Multi-Response Optimization Analysis of the Milling Process of Asphalt Layer Based on the Numerical Evaluation of Cutting Regime Parameters

et al. 2023

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Microstructure and Properties of Gradient Ti(C,N)-Based Cermets by Powder Extrusion Additive Manufacturing

Long,

Chen,

Qin

et al. 2024

Metals

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Ti(C,N)-based cermets are crucial for high-speed cutting tools and other high-temperature applications, yet there remains a considerable gap in their preparation controllability, fracture strength, and toughness compared to cemented carbide. Despite numerous studies having focused on modifying the hardness and toughness of Ti(C,N)-based cermets by varying process parameters and chemical compositions, this research has used gradient Ti(C,N)-based cermets produced by powder extrusion additive manufacturing (PEM) technology, which is rare. This study developed the gradient structure layer by layer using PEM. The microstructure of the printed and sintered parts was studied, and the hardness, fracture toughness, and bending strength of the gradient material were analyzed. The gradient material demonstrates superior mechanical properties compared to traditional Ti(C,N)-based cermets, with a hardness of HV20, a fracture toughness of MPa·m1/2, and a bending strength of MPa. The research will assist researchers in assessing the potential application of PEM and broaden the application fields of gradient Ti(C,N)-based cermets.

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Optimization of process parameters for centrifugal cast single point cutting tools using Grey-Taguchi technique

Cited by 2 publications

References 16 publications

Multi-Response Optimization Analysis of the Milling Process of Asphalt Layer Based on the Numerical Evaluation of Cutting Regime Parameters

Multi-Response Optimization Analysis of the Milling Process of Asphalt Layer Based on the Numerical Evaluation of Cutting Regime Parameters

Microstructure and Properties of Gradient Ti(C,N)-Based Cermets by Powder Extrusion Additive Manufacturing

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