External six-bar mechanism rehabilitation device for index finger: Development and shape synthesis

Chakraborty, Debaditya; Rathi, Ayush; Singh, Ramanpreet; Pathak, Vimal Kumar; Srivastava, Ashish K.; Sharma, Abhishek; Saxena, Kuldeep K.; Kumar, Gaurav; Kumar, Sandeep

doi:10.1016/j.robot.2022.104336

Cited by 26 publications

(21 citation statements)

References 23 publications

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“…These methods describe the evolution of phase boundaries and interfaces within a material, considering thermodynamic and kinetic properties. By solving phase field equations, phase field models can simulate various phase transformations, such as solidification, solid-state phase changes, and precipitation [31]. For instance, in casting processes, phase field methods can predict the formation of dendritic structures during solidification and provide insights into the grain morphology, grain growth, and segregation phenomena.…”

Section: Mesoscale Modelingmentioning

confidence: 99%

Review of Multiscale Modeling and Simulation Techniques in Metal Forming, Bending, Welding, and Casting Processes for Enhanced Predictive Design and Analysis

Bhavana,

Kaushik

et al. 2024

E3S Web Conf.

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Multiscale modeling and simulation offer crucial insights for designing and analyzing metal forming, bending, welding, and casting processes, all of which are vital across automotive, aerospace, and construction industries. This paper overviews multiscale techniques used in these areas. Macroscopically, continuum-based methods like finite element analysis (FEA) model the overall process and its impact on metal materials. FEA reveals deformation, stress distribution, and temperature changes during manufacturing processes. Mesoscale techniques, including crystal plasticity, phase field methods, and cellular automata, focus on microstructural evolution and mechanical properties. They model the behavior of grains and phases within the metal. These models combine macro and mesoscale data for accuracy. This allows for the prediction of grain growth, recrystallization, and phase transformations – critical for optimizing processes, refining component design, and ensuring quality. For example, multiscale modeling successfully captured microstructural evolution during casting (demonstrating ±2% average grain growth deviation) and predicted defect formation in welded joints with high accuracy (demonstrating a 0.95 correlation coefficient with non-destructive testing).

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Section: Mesoscale Modelingmentioning

confidence: 99%

Review of Multiscale Modeling and Simulation Techniques in Metal Forming, Bending, Welding, and Casting Processes for Enhanced Predictive Design and Analysis

Bhavana,

Kaushik

et al. 2024

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…However, the implementation of recycling and re-manufacturing practices faces several technical, economic, and regulatory challenges [4]. One of the primary technical challenges in recycling is the degradation of material properties during the recycling process [5]. The repeated melting, extrusion, and molding of polymers, for example, can lead to a decrease in molecular weight, resulting in reduced mechanical properties.…”

Section: Figure 1: Circular Economy Modelmentioning

confidence: 99%

Towards a Circular Economy: Challenges and Opportunities for Recycling and Re-manufacturing of Materials and Components

Rakesh,

Harika,

Chahuan

et al. 2023

E3S Web Conf.

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The transition towards a circular economy is a critical step in achieving sustainable development and mitigating environmental degradation. This study explores the challenges and opportunities associated with recycling and re-manufacturing of materials and components within the context of a circular economy. We conducted a comprehensive analysis of the current state of recycling and re-manufacturing technologies, identifying key barriers such as material degradation, contamination, and technological limitations. We also examined the potential for innovative solutions, including advanced material characterization techniques, additive manufacturing, and digital twin technologies, to address these challenges. Our findings reveal that the integration of these technologies can significantly enhance the efficiency and effectiveness of recycling and re-manufacturing processes, enabling the recovery of high-quality materials and components. Furthermore, we highlight the importance of establishing a robust regulatory framework and incentivizing industry participation to accelerate the transition towards a circular economy. This study provides valuable insights for policymakers, industry stakeholders, and researchers working towards the development and implementation of sustainable materials management strategies. By addressing the challenges and harnessing the opportunities identified in this study, we can pave the way for a more sustainable and resource-efficient future.

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“…Single degree of freedom (DOF) mechanisms offer the advantages of simple control and high stiffness, making them prevalent in the design of diverse robotic systems. Considering the diversity of tasks and the complexity of constraints, developing an efficient design for a single DOF mechanism that satisfies multiple constraints remains a challenging task [ [1] , [2] , [3] , [4] ].…”

Section: Introductionmentioning

confidence: 99%

Computer aided design of a single degree-of-freedom six-bar mechanism via Monte Carlo layered optimization method

Zhang,

Zhang

2024

Heliyon

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External six-bar mechanism rehabilitation device for index finger: Development and shape synthesis

Cited by 26 publications

References 23 publications

Review of Multiscale Modeling and Simulation Techniques in Metal Forming, Bending, Welding, and Casting Processes for Enhanced Predictive Design and Analysis

Review of Multiscale Modeling and Simulation Techniques in Metal Forming, Bending, Welding, and Casting Processes for Enhanced Predictive Design and Analysis

Towards a Circular Economy: Challenges and Opportunities for Recycling and Re-manufacturing of Materials and Components

Computer aided design of a single degree-of-freedom six-bar mechanism via Monte Carlo layered optimization method

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