Critical review on the impact of EDM process on biomedical materials

Jain, Shubham; Parashar, Vishal

doi:10.1080/10426914.2021.1942907

Cited by 53 publications

(21 citation statements)

References 256 publications

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“…Consequently, such materials have applications in sensors, [8] robots, [9] complex parts, [10] scaffold implants, [11] and several other biomedical applications. [12][13][14] Smart materials are programmable materials in which the shape and structure are defined in computer-aided design (CAD) modeling software with specified characteristics and sliced with layers having the required thickness for 3DP/4DP. A further advanced level of products made by another type of smart materials would be triggered by applying external stimuli, which can alter the material's particular property, hence the product's shape.…”

Section: Introductionmentioning

confidence: 99%

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Additive manufacturing of smart polymeric composites: Literature review and future perspectives

2022

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The latest developments in smart systems for improved human lives with advanced biomedical devices have evolved out of multi‐disciplinary scientific studies, including medicine, biology, material sciences, design, manufacturing, artificial intelligence, microelectronics, and so forth. The growth of such intelligent systems is primarily possible with innovative materials, which demonstrate the response to various external stimuli like temperature, heat, moisture, light, electromagnetic field, and chemical alteration. Such materials have been recently fabricated using different additive manufacturing techniques to devise personalized unique, complex, and novel structures that can adjust to external conditions over time and are specifically attributed to 4D printing. Novel materials that can further improve such systems continued to be explored and employed. This review paper investigates the additive manufacturing of functional polymer nanocomposites, which offer compliant structures with flexible manufacturing processes with high strength, low cost, and long‐term stability. This study aims to deliver a comprehensive and deep understanding of the latest developments in materials, design, manufacturing, fundamental mechanisms involved, and future possibilities in this area of research.

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Section: Introductionmentioning

confidence: 99%

“…Consequently, such materials have applications in sensors, [ 8 ] robots, [ 9 ] complex parts, [ 10 ] scaffold implants, [ 11 ] and several other biomedical applications. [ 12–14 ]…”

Section: Introductionmentioning

confidence: 99%

Additive manufacturing of smart polymeric composites: Literature review and future perspectives

2022

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“…EDM, a spark erosion process, operates on the thermoelectric energy principle [5,8]. It uses thermal and electrical energy to generate a series of electric sparks by discharging the dielectric fluid present in the inter-electrode space.…”

Section: Introductionmentioning

confidence: 99%

EDM of Ti6Al4V under nano-graphene mixed dielectric: a detailed roughness analysis

Ishfaq

Maqsood

Anwar

et al. 2022

Int J Adv Manuf Technol

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Surface finish has an essential role in superior performance of machined products which becomes crucial for sophisticated applications like invasive biomedical implants and aerospace components. Ti6Al4V is popular in these applications due to its exceptional characteristics of weight-to-strength ratio. However, Ti6Al4V is a difficult-to-cut material; therefore, non-traditional cutting techniques especially, electric discharge machining (EDM), are widely adopted for Ti6Al4V cutting. The engagement of nano-powders are used to upsurge the cutting rate and surface quality. Among the different powders, a novel nano-powder additive, i.e., graphene, has not been tested in EDM of Ti6Al4V. Therefore, the potential of nano-graphene is comprehensively investigated herein for roughness perspective in EDM of Ti-alloy. The experimental design is based on Taguchi L18 orthogonal framework which includes six EDM parameters. The experimental findings are thoroughly discussed with statistical tests and physical evidence. The surface quality achieved with an aluminum electrode was found best amongst its competitors, whereas the worst surface asperities were noticed when brass electrode was used under graphene mixed dielectric. Moreover, it is conceived that the positive tool polarity provides lower roughness for all types of electrodes. Furthermore, optimal settings have been developed that warrant a reduction of 61.4% in the machined specimen’s roughness compared to the average roughness value recorded during the experimentation.

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“…Jain and Parashar review the EDM process on Biomedical Materials. They have found that the EDM process makes the biomaterial more biocompatible [30].…”

Section: Introductionmentioning

confidence: 99%

Comparison of priori and posteriori approach of multi-objective optimization for WEDM on Ti6Al4V alloy

Jain

Parashar

2022

Mater. Res. Express

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Titanium alloys are known to have some excellent properties, such as good biocompatibility, good fatigue resistance and high strength to weight ratio. Due to these properties, Ti6Al4V alloy is widely used in the biomedical field, aerospace and automobile industries. In this article, pulse on-time (TON), pulse off time (TOFF), and servo voltage (SV) were selected as process parameters for wire electric discharge machining (WEDM) on Ti6Al4V alloy. The material removal rate (MRR) and surface roughness (SR) were determined as responses. MRR and SR have been equated by a central composite design (CCD: a response surface method technique). Then multi-objective Artificial Bee Colony optimization (MO-ABC) with Gray relational analysis (GRA) was selected as a priori approach for multi-objective optimization. Also, a multi-objective grasshopper optimization algorithm (MO-GOA) has been chosen as a posterior approach for optimization. These two algorithms have been tested on various iterations and populations. Based on the elapsed time, it has been found that the priori approach of multi-objective optimization is better than the posterior approach of multi-objective optimization. When comparing these algorithms based on the results, it is obtained that the posterior approach gives a better combination of multiple results. The major outcome of the research is that the priori method is quick, while the posterior approach produces many promising solutions.

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Critical review on the impact of EDM process on biomedical materials

Cited by 53 publications

References 256 publications

Additive manufacturing of smart polymeric composites: Literature review and future perspectives

Additive manufacturing of smart polymeric composites: Literature review and future perspectives

EDM of Ti6Al4V under nano-graphene mixed dielectric: a detailed roughness analysis

Comparison of priori and posteriori approach of multi-objective optimization for WEDM on Ti6Al4V alloy

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