Experimental Investigation and Optimization of WEDM process parameters for Ti50Ni48Co2 Shape Memory Alloy

Reddy, D.V. Ramana; Soni, Hargovind; Narendranath, S.

doi:10.1016/j.matpr.2018.06.259

Cited by 8 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 5 shows micro-hardness on machined surface, an analysis was performed up to 100 µm deepness from the machined surface. As machining depth increases, the machined surface's microhardness gets reduced [30]. Three layers are formed during machining; the topmost layer is the recast layer, subsequently a heat-affected region and the converted zone layer beneath.…”

Section: Surface Integrity In Wedmmentioning

confidence: 99%

See 1 more Smart Citation

Study of Machining Characteristics of Non-conventional Methods

Kolhapure¹,

Badkar²

2023

Advances in Computer Science Research

View full text Add to dashboard Cite

Smart alloy, which is typically called a shape memory alloy (SMA), have wide application in industry such as in aircraft, spacecraft, automotive, robotics, in civil structures, piping, medical field, engines, due to its shape memory effect, biocompatibility, strong resistance against corrosion, anti-fatigue characteristic. In a traditional machining method, physical contact occurs between workpiece and tool (SMA); therefore, increased tool wear and lesser dimensional stability due to pseudo-plasticity occur, which is not feasible. In contrast, different non-traditional machining methods are there, such as electrochemical machining (ECM), water jet machining (WJM), electro discharge machining (EDM), and wire electro-discharge machining (WEDM). The objective of this present work is to find a research gap. Based on the gap in a future new method, results get develop.

show abstract

Section: Surface Integrity In Wedmmentioning

confidence: 99%

“…The recast layer's thickness will increase with a longer Ton, but it can be decreased with a longer Toff. Less spark is produced and more time is spent cleaning away molten material as a result of the longer Toff [30]. Table 1 and Table 2 gives data of input parameters with their levels on machining of SMAs.…”

Section: Surface Integrity In Wedmmentioning

confidence: 99%

Study of Machining Characteristics of Non-conventional Methods

Kolhapure¹,

Badkar²

2023

Advances in Computer Science Research

View full text Add to dashboard Cite

show abstract

“…During the WEDM process, the material is eroded ahead of the wire with no direct contact between the workpiece and the wire, eliminating mechanical tensions and vibrations during machining. Moreover, the WEDM process can handle machining materials of high strength and hardness [5].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Cutting Parameters for Energy Efficiency in Wire Electrical Discharge Machining of AISI D2 Steel

González-Rojas,

Miranda-Valenzuela,

Calderón-Najera

2024

Applied Sciences

View full text Add to dashboard Cite

Improving energy efficiency in manufacturing processes is a critical global concern for the industry. Manufacturers strive to enhance energy efficiency across all manufacturing operations to remain competitive globally, aiming to reduce production times without compromising product quality. While there has been significant research characterizing energy efficiency and surface roughness in conventional processes like turning or milling, studies on unconventional manufacturing techniques are limited. This study focuses on optimizing a wire electrical discharge machining (WEDM) process to minimize energy consumption while maintaining surface roughness. Various cutting parameters, such as pulse on-time, pulse off-time, servo voltage, wire tension, wire speed, and wire voltage, were evaluated. Experiments were conducted using Taguchi’s methodology with a L27 orthogonal array, employing AISI D2 steel plates of 19 mm and 25 mm thickness as the machining material. The research identified that optimal parameters for reducing energy consumption and improving surface roughness included a pulse on-time of 10 s, pulse off-time of 11 s, servo voltage of 44 V, wire tension of 50 g-force, wire speed of 7 m per minute, and wire voltage of 9 volts. This combination led to an 8% reduction in energy consumption and a 1% enhancement in surface roughness compared to baseline values.

show abstract

“…[3] During the WEDM process, the material is eroded ahead of the wire with no direct contact between the workpiece and the wire, eliminating mechanical tensions and vibrations during machining. Besides, the WEDM process can handle machining materials of high strength and hardness [4]. Electrical Discharge Machining (EDM) is considered to require at least 1000 times more energy than conventional machining processes.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Cutting Parameters in Wire Electric Discharge Machining (Wedm) to Reduce Energy Consumption and Surface Roughness During Aisi D2 Steel Machining

Rojas,

Valenzuela,

Nájera

2023

Preprint

View full text Add to dashboard Cite

Energy efficiency in manufacturing processes has become a critical issue for the industry, so a worldwide effort is being made to improve energy efficiency in all manufacturing activities. Also, manufacturers are concerned about being competitive worldwide, so a decrease in production times is required without affecting the quality of products. Therefore, there are studies to characterize energy efficiency and surface roughness in manufacturing processes. Such studies have been mainly applied to conventional processes, such as for example, turning or milling. However, studies in unconventional manufacturing processes remain absent. The main objective of this work is to optimize cutting factors in Wire Electric Discharge Machining, such as Pulse on time (Ton), Pulse off time (Toff), servo voltage (SV), wire tension (WT), wire-speed (WS), and voltage (V), in order to reduce energy consumption and improve surface roughness, both separate and as a whole. The experiments were carried out according to Taguchi's L27 (6³) approach. AISI D2 steel was used as the material to be machined. As a result of the study, the optimal factors that reduce energy consumption are Ton (16µs), Toff (11µs), SV (44V), WT (50g), WS (70dm/min), and V (9V). Furthermore, the optimal factors that improve the surface roughness are Ton (10µs), Toff (11µs), SV (44V), WT (30g), WS (70dm/min), and V (5V). Finally, to reduce energy consumption and improve the surface roughness, the optimal values are Ton (10µs), Toff (11µs), SV (44V), WT (50g), WS (70dm/min), and V (9V). This methodology has been tested and validated on a SODICK VZ300L.

show abstract

Experimental Investigation and Optimization of WEDM process parameters for Ti50Ni48Co2 Shape Memory Alloy

Cited by 8 publications

References 5 publications

Study of Machining Characteristics of Non-conventional Methods

Study of Machining Characteristics of Non-conventional Methods

Optimization of Cutting Parameters for Energy Efficiency in Wire Electrical Discharge Machining of AISI D2 Steel

Optimization of Cutting Parameters in Wire Electric Discharge Machining (Wedm) to Reduce Energy Consumption and Surface Roughness During Aisi D2 Steel Machining

Contact Info

Product

Resources

About