Javascript must be enabled to continue!
Machinability of different cutting tool materials for electric discharge machining: A review and future prospects
View through CrossRef
Electric Discharge Machining (EDM) is essential for shaping and cutting tool steel. EDM’s precision in machining difficult materials and tool steel characteristics are well known. EDM efficiency requires reliable performance measurement parameters. The physical shape and mobility of the electrode tool are critical in EDM research. Layer machining is an advanced method that removes material in a sequential manner to produce intricate 3D shapes in tool steel and several other materials. The improvement in layer machining methods with precise toolpath algorithms, adaptive layer thickness management, and real-time monitoring systems is required to maximize precision and efficiency. Response surface methodology, the artificial neural network, and other techniques are necessary to optimize EDM operations and maximize performance. Many researchers experimented with electrode shapes and movement patterns to enhance the removal of material and the quality of surfaces. Investigation of complex electrode structures and innovative tool path strategies has been performed in previous studies. It was very difficult to consider various factors during the EDM operation; hence, the present review summarizes the positive outcomes of previous research. The review emphasizes optimizing pulse duration and discharge current to improve EDM efficiency. The present comprehensive review discusses research on EDM in three main areas: electrode tool geometry and motion, tool steel layer processing, and factors for measuring EDM performance. The objective of the present review is to focus on measuring material removal rates, surface roughness, tool wear, and energy usage. The present review concludes that EDM is crucial to machining tool steel and cutting tool materials. Integrating and hybrid machining technologies can improve performance, and improved optimization techniques are crucial. It also recognizes knowledge gaps and explores new frontiers in this dynamic field.
Title: Machinability of different cutting tool materials for electric discharge machining: A review and future prospects
Description:
Electric Discharge Machining (EDM) is essential for shaping and cutting tool steel.
EDM’s precision in machining difficult materials and tool steel characteristics are well known.
EDM efficiency requires reliable performance measurement parameters.
The physical shape and mobility of the electrode tool are critical in EDM research.
Layer machining is an advanced method that removes material in a sequential manner to produce intricate 3D shapes in tool steel and several other materials.
The improvement in layer machining methods with precise toolpath algorithms, adaptive layer thickness management, and real-time monitoring systems is required to maximize precision and efficiency.
Response surface methodology, the artificial neural network, and other techniques are necessary to optimize EDM operations and maximize performance.
Many researchers experimented with electrode shapes and movement patterns to enhance the removal of material and the quality of surfaces.
Investigation of complex electrode structures and innovative tool path strategies has been performed in previous studies.
It was very difficult to consider various factors during the EDM operation; hence, the present review summarizes the positive outcomes of previous research.
The review emphasizes optimizing pulse duration and discharge current to improve EDM efficiency.
The present comprehensive review discusses research on EDM in three main areas: electrode tool geometry and motion, tool steel layer processing, and factors for measuring EDM performance.
The objective of the present review is to focus on measuring material removal rates, surface roughness, tool wear, and energy usage.
The present review concludes that EDM is crucial to machining tool steel and cutting tool materials.
Integrating and hybrid machining technologies can improve performance, and improved optimization techniques are crucial.
It also recognizes knowledge gaps and explores new frontiers in this dynamic field.
Related Results
Optimising tool wear and workpiece condition monitoring via cyber-physical systems for smart manufacturing
Optimising tool wear and workpiece condition monitoring via cyber-physical systems for smart manufacturing
Smart manufacturing has been developed since the introduction of Industry 4.0. It consists of resource sharing and networking, predictive engineering, and material and data analyti...
Research on difficult‐cut‐material in cutting with application of water vapor as coolant and lubricant
Research on difficult‐cut‐material in cutting with application of water vapor as coolant and lubricant
PurposeGreen machining is becoming increasingly more popular due to concern regarding the safety of the environment and human health. The important implementation of stricter Envir...
A Preliminary Study on Machinability of Super Austenitic Stainless Steel
A Preliminary Study on Machinability of Super Austenitic Stainless Steel
Stainless steel is the most widely used alloys of steel. The reputed variety of stainless steel having customised material properties as per the design requirements is Duplex Stain...
Machinability of Cu-Al-Mn Shape Memory Alloys
Machinability of Cu-Al-Mn Shape Memory Alloys
Abstract
Cu-Al-Mn (CAM) shape memory alloys (SMA) are cost effective, have a high low-cycle fatigue life and superelastic limit, and a wide temperature application range co...
A Critical Review on Ultrasonic Assisted Electric Discharge Machining and Various Processes
A Critical Review on Ultrasonic Assisted Electric Discharge Machining and Various Processes
In the previous many years, several attempts have been made to enhance the effectiveness of the Spark erosion machining process. This review clearly mentioned all the work outputs ...
Machinability Indices of some Metallic Materials in Abrasive Waterjet Machining
Machinability Indices of some Metallic Materials in Abrasive Waterjet Machining
Abrasive Waterjet Machining (AWJM) has significant advantages, such as being environmentally friendly, used for machining hard-to-cut materials, and do not cause a heat-affected zo...
Predictive Analytical Modeling of Thermo-Mechanical Effects in Orthogonal Machining
Predictive Analytical Modeling of Thermo-Mechanical Effects in Orthogonal Machining
Factor relationships in a machining system do not work in pairs. Varying the cutting parameters, materials machined, or volumes produced will influence many machining characteristi...
Multi-Objective Optimization of Machining Parameters for Sustainable Turning of AISI 630 Stainless Steel using Taguchi-Based Desirability Function Analysis
Multi-Objective Optimization of Machining Parameters for Sustainable Turning of AISI 630 Stainless Steel using Taguchi-Based Desirability Function Analysis
Dry machining has a good association with ecological and economic control. Even though dry machining is environment-friendly, it produces poor surface quality with excessive...

