Performance improvement of turning operation during processing of AISI 304 with novel textured tools under minimum quantity lubrication using hybrid optimization technique

Sivaiah, P.; G, Venkata Ajay Kumar; Narasimhamu, K. L.; Balaji, N.

doi:10.1080/10426914.2021.1967977

Cited by 18 publications

(3 citation statements)

References 34 publications

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“…Their results revealed that the presence of micro-dents on tool rake face creates stress concentration during machining and increases the stresses at the tool-chip interaction zone. Furthermore, improvement in tool performance is observed using hybrid textures by providing superiority in lubricant storage capacity and reduction of tool-chip contact than the homothetic textures [14]. Sharma et al [15] made the hybrid textures such as circular pits along with parallel and perpendicular micro-groove textures on tungsten carbide (WC) tool while the turning of 4340 steel.…”

Section: Introductionmentioning

confidence: 99%

High Speed Steel Tool Performance through Hybrid Texturing Followed by Shock Peening towards Sustainable Machining

Prasad,

Ismail,

Satish

2024

J. Mach. Manuf. Reliab.

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Surface texturing is a promising sustainable technique to get better the machining performance of cutting tools. Laser surface texturing and micro-EDM are the most commonly used fabrication techniques and the textured tools exhibit better tool performance as compared to conventional tool. However, these processes involve re-solidification of material surface which makes the surface softening and reduction in the surface hardness. In the present work, cutting performance of the High-Speed Steel (HSS) tool is studied by fabricating hybrid (microgrooves with dimples) textures on its rake face using both laser ablation and micro-EDM methods followed by laser shock peening without ablative coating (LSPWAC) process. Hybrid textured with shock peened HSS tools are used in orthogonal dry turning of 316 L stainless steel. It has been observed that hybrid textures with shock peened HSS tool exhibits higher tool life of up to 255% and 85% than the conventional and the hybrid textured (HT) tools respectively. The results shown that surface texturing followed by shock peening is an innovative method to improve the sustainability in machining process than only surface texturing method. Moreover, analysis of chip is studied by finite element analysis.

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Section: Introductionmentioning

confidence: 99%

High Speed Steel Tool Performance through Hybrid Texturing Followed by Shock Peening towards Sustainable Machining

Prasad,

Ismail,

Satish

2024

J. Mach. Manuf. Reliab.

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“…Tese include the use of high pressure coolants, cold and nanofuid cooling, and dry machining. Compared to conventional fuid lubrication procedures, these new techniques ofer superior results [13][14][15][16]. Predictive model development is a process utilized in manufacturing to predict the performance of a product or service.…”

Section: Introductionmentioning

confidence: 99%

Development of Hybrid Optimization Model Using Grey-ANFIS-Jaya Algorithm for CNC Drilling of Aluminium Alloy

Narasimhamu,

Natarajan,

Thejasree

et al. 2024

Journal of Engineering

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Aluminium alloys are gaining popularity in a diversity of engineering applications because of their extraordinary features such as strength, resistance to oxidation, and so on. AA5052 (Al-Mg series) is generally used in antirust uses, particularly in desalination related activities, due to its better resistance to corrosion in marine applications at temperature ranges up to 125°C, lower cost, better heat-carrying capacity, and nontoxicity of its corrosion components. Drilling is one of the most commonly adopted material removal processes that is adopted in numerous engineering uses. Taguchi’s technique is engaged to arrange and examine the tests, by treating the drilling diameter and speed and as independent process factors. The studies were carried out using an L27 orthogonal array. Material removal rate (MRR), surface roughness (SR), and form/orientation error are deemed as output characteristics. Taguchi’s analysis was engaged to discover the best process factors. ANOVA is used to examine the influence of process variables. Suitable application of artificial intelligence tools for making effective decision assists the manufacturer in accomplishing the benefits in numerous engineering domains. To obtain the maximum material removal and minimum roughness, circularity (circ), and perpendicularity errors (perp), the process variables have been optimized with the help of grey-ANFIS-amalgamated with Jaya algorithm. The multiperformance index was developed using grey theory. Statistical error analysis is used to estimate the performance of the established optimization model. Based on the investigative outcomes, the best-suited process variable combinations will be used to provide improved and enhanced multiperformance characteristics.

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“…In addition to the type of MQL oil and textured forms, cutting parameters are also important factors that affect the material processing performance and tool wear [10][11][12]. Pratap comprehensively investigated the combined effects of textured tools, cutting parameters, and MQL on machined surface quality and the tool wear [13].…”

Section: Introductionmentioning

confidence: 99%

Effects of parameter selection strategy on tool wear when milling 3D-printed functionally graded materials with textured tool under minimum quantity lubrication

Wang

Yang

Jianpu

et al. 2023

Int J Adv Manuf Technol

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Functionally Graded Materials (FGMs) is a promising engineering material, which is highly desirable in extreme environments of aerospace, nuclear and bio-implants. Although the surface accuracy and quality of 3D printed Ni-Fe FGMs can meet most application scenarios, it still requires post-cutting treatment especially in nuclear industry. The FGMs, with the gradient of mechanical property, is a new type of di cult-to-cut material. However, no ready-made post milling process can be referred. The poor machined surface quality induced by severe tool wear still cannot be handled even with textured tool under Minimum Quantity Lubrication (MQL). In this paper, the mechanical properties and machinability of the Ni-Fe FGMs as well as its 5 isotropic component 304L x IN625 y were rstly studied and correlated. Then, two milling parameter selection strategies were proposed by minimum milling force and by minimum surface roughness, corresponding to strategy I and strategy II. The results show that severe tool breakage occurs when strategy I is adopted. On the contrary, tool undergone continuous reciprocating cycles of bonding, coating peeling, re-bonding, re-peeling when strategy II is adopted. Un this circumstance, strategy II can reduce tool ank wear by 40.1% regarding to the synergistic effect of micro-texture and MQL, which is a prospective method to solve the low tool durability during machining of 3D printed Ni-Fe FGMs.

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Performance improvement of turning operation during processing of AISI 304 with novel textured tools under minimum quantity lubrication using hybrid optimization technique

Cited by 18 publications

References 34 publications

High Speed Steel Tool Performance through Hybrid Texturing Followed by Shock Peening towards Sustainable Machining

High Speed Steel Tool Performance through Hybrid Texturing Followed by Shock Peening towards Sustainable Machining

Development of Hybrid Optimization Model Using Grey-ANFIS-Jaya Algorithm for CNC Drilling of Aluminium Alloy

Effects of parameter selection strategy on tool wear when milling 3D-printed functionally graded materials with textured tool under minimum quantity lubrication

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