Sustainable Hard Machining of AISI 304 Stainless Steel Through TiAlN, AlTiN, and TiAlSiN Coating and Multi-Criteria Decision Making Using Grey Fuzzy Coupled Taguchi Method

Chinnasamy, Moganapriya; Rathanasamy, Rajasekar; Santhosh, R.; Saran, S.; Santhosh, S.; Gobinath, V. K.; Kumar, Pankaj

doi:10.1007/s11665-022-06751-2

Cited by 20 publications

(12 citation statements)

References 43 publications

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“…Therefore, the actual cutting thickness of a single abrasive particle is deformed, which ultimately leads to an increase in the proportion of plastic removal in the grinding process, thus improving the surface quality of the workpiece. However, with the further increase of the linear speed of the grinding wheel, the cutting fluid sprayed into the processing area is reduced, which leads to the poor heat dissipation capacity and chip removal capacity of the grinding wheel, reduces the cutting capacity of the grinding wheel, and finally increases the surface roughness value [22].…”

Section: Resultsmentioning

confidence: 99%

“…When the transverse crack expands to the surface of the material, the material spalling will occur, and then brittle breakage and surface defects will be formed on the processed surface. Therefore, theoretically, the number of broken pits on the workpiece surface and the actual abrasive particles can be used to calculate the breakage rate of the machined surface [21,22].…”

Section: Removal Mechanism and Kinematics Modeling Of Si 3 N 4 Cerami...mentioning

confidence: 99%

“…In addition to the whetstone oscillation width, whetstone oscillation frequency, workpiece surface diameter and ring speed, the process parameters that affect the quality of ultra-finishing are also the time and pressure of ultra-finishing. The relationship between material removal volume and process parameters described by Preston equation can be expressed by the following equation [22][23][24][25].…”

Section: Influence Of Ultra-finishing Grinding Process On Raceway Sur...mentioning

confidence: 99%

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Study on optimization of surface processing technology of silicon nitride bearing ring

Wei²,

Li³

et al. 2023

Mater. Res. Express

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Based on the difficult machining characteristics of silicon nitride materials, this manuscript focuses on optimizing the precision machining process of silicon nitride bearing components and improving the machining efficiency and quality of silicon nitride bearing components. Firstly, the mechanism of crack formation and propagation in hard and brittle materials under the action of abrasive particles is discussed in this paper, and based on this, a kinematic model of single abrasive grain cutting on hard and brittle materials is established. The effect of workpiece linear velocity, grinding wheel linear velocity, grinding wheel oscillation velocity and feed velocity on inner surface roughness of Si3N4 ring was discussed through grinding test. The experimental results show that the surface roughness can reach about Ra0.20~Ra0.33μm through a large number of grinding experiments by adjusting the combination of process parameters μ m. On this basis, use the optimized process parameters calculated by the surface quality prediction model constructed in this manuscript to conduct grinding test again, and the surface roughness value reaches about Ra0.19~Ra0.23μm. The purpose of optimizing the process parameters is realized. Finally, the surface roughness can be further reduced and maintained at Ra0.05~Ra0.06μm by further superfinishing the surface after the process optimization with an oilstone. The research work of this manuscript realized the optimization of precision machining process of silicon nitride bearing ring and the rapid optimization of machining process through the established prediction model, which improved the precision machining efficiency of ceramic bearing components. Through the study of this manuscript, a process route of controllable processing of inner surface quality of Si3N4 ring is formed, from preliminary selection of process parameters by optimization model to precision grinding and then to ultra-finishing of whetstone, which provides theoretical reference for efficient and precise manufacturing of practical bearing components.

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Section: Resultsmentioning

confidence: 99%

Section: Removal Mechanism and Kinematics Modeling Of Si 3 N 4 Cerami...mentioning

confidence: 99%

Section: Influence Of Ultra-finishing Grinding Process On Raceway Sur...mentioning

confidence: 99%

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Study on optimization of surface processing technology of silicon nitride bearing ring

Wei²,

Li³

et al. 2023

Mater. Res. Express

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“…Because of the intricacy of the numbers involved, reaching the goal of improved prediction accuracy involves a number of stages [23]. Predicting machining performance is possible using artificial neural networks, fuzzy logic and machine learning techniques [24,25]. The Taguchi-data envelopment analysis based ranking methodology provides accurate estimates of the combination of process parameters that produce the best results [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Dry machining characteristics of coated inserts and multi response optimization through DEAR‐Taguchi method

Chinnasamy

Rathanasamy²

2023

Materialwissenschaft Werkst

Self Cite

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The primary intent of the proposed research work is to investigate the effectiveness of the titanium aluminium nitride/tungsten carbide‐carbide coated insert during dry turning structural stainless steel. The aim of the study is to simultaneously optimise machining variables like spindle speed, depth of cut and feed for several responses like flank wear, material removal rate and surface roughness. Titanium aluminium nitride/tungsten carbide‐carbide is coated on the surface of carbide tool by cathodic arc evaporation method. The characterization studies have been conducted to ensure the existence of coating material. Micro hardness of coated and pure inserts was tested, which confirms that titanium aluminium nitride/tungsten carbide‐carbide coated insert possesses 17.43 % augmented hardness over pure inserts. The machining was performed by adopting Taguchi experimental design. A multi‐response optimization approach was applied in this study that included ranking methodology based on data development analysis and Taguchi's design. The performance index for multiple responses was measured and mathematically analysed for their effect on processing parameters. The combination of parameter such as spindle speed: 2000 min−1; cutting depth: 0.45 mm and feed rate: 0.16 mm rev−1 was experimental as optimal machining parameters.

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“…PVD involves the transfer of material from a source, typically in the form of a solid or liquid, to a substrate under vacuum conditions. There are several methods of PVD deposition, including sputtering [ 28 , 29 ], evaporation [ 30 , 31 ], and pulsed laser deposition (PLD).…”

Section: Introductionmentioning

confidence: 99%

Review on Hydrophobic Thin Films Prepared Using Magnetron Sputtering Deposition

et al. 2023

Materials

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Hydrophobic thin films have gained significant attention due to their broad applications in self-cleaning, anti-corrosion, anti-icing, medicine, oil–water separation, and other fields. The target hydrophobic materials can be deposited onto various surfaces thanks to the scalable and highly reproducible nature of magnetron sputtering, which is comprehensively overviewed in this review. While alternative preparation methods have been extensively analyzed, a systematic understanding of hydrophobic thin films fabricated using magnetron sputtering deposition is still absent. After outlining the fundamental mechanism of hydrophobicity, this review briefly summarizes three types of sputtering-deposited thin films that originate from oxides, polytetrafluoroethylene (PTFE), and diamond-like carbon (DLC), respectively, primarily focusing on the recent advances in their preparation, characteristics, and applications. Finally, the future applications, current challenges, and development of hydrophobic thin films are discussed, and a brief perspective on future research directions is provided.

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Sustainable Hard Machining of AISI 304 Stainless Steel Through TiAlN, AlTiN, and TiAlSiN Coating and Multi-Criteria Decision Making Using Grey Fuzzy Coupled Taguchi Method

Cited by 20 publications

References 43 publications

Study on optimization of surface processing technology of silicon nitride bearing ring

Study on optimization of surface processing technology of silicon nitride bearing ring

Dry machining characteristics of coated inserts and multi response optimization through DEAR‐Taguchi method

Review on Hydrophobic Thin Films Prepared Using Magnetron Sputtering Deposition

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