Data-driven materials science: application of ML for predicting band gap

Numerical simulation and modeling play a crucial role in understanding and predicting the behavior of materials subjected to high strain rate deformation processes. These processes involve rapid deformation and loading rates, typically encountered in scenarios such as impact events, explosive detonations, metal forming, and crash simulations. By employing advanced computational techniques, researchers and engineers can gain insights into complex material behavior under extreme loading conditions. This paper provides an overview of numerical simulation and modeling approaches used in studying high-strain rate deformation processes. It discusses the challenges associated with capturing dynamic material response, the development of constitutive models, and the use of finite element analysis and computational fluid dynamics. The paper also highlights the importance of material characterization, model validation, and sensitivity analysis for accurate and reliable simulations. Additionally, it explores the application of numerical simulations in optimizing material properties, designing protective structures, and improving the performance of impact-resistant materials. Overall, this review paper emphasizes the significance of numerical simulation and modeling as powerful tools for advancing the understanding and design of high-strain rate deformation processes.

Section: Constitutive Modeling For High Strain Rate Deformationmentioning

confidence: 96%

A Review of Numerical Simulation and Modeling in High Strain Rate Deformation Processes

Swamy,

Usha,

Meheta

et al. 2024

“…In the context of metal processing, nanoscale modeling provides insights into the atomic-level interactions, surface phenomena, and nanoscale structures that impact material behavior and properties. One commonly used technique in nanoscale modeling is molecular dynamics (MD) [38]. Molecular dynamics simulations involve tracking the motion of atoms and molecules over time using classical mechanics principles [39].…”

Section: Nanoscale 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

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).

“…The development of algorithmic systems that are transparent and responsible should be given due consideration. The implementation of regular audits and bias testing is necessary in order to uphold principles of justice and equity in algorithmic outcomes [36]. The topic of discussion is digital preservation, which refers to the practise of safeguarding digital information and ensuring its long-term accessibility and usability.…”

Section: Challenges and Considerations In The Digital Landscapementioning

confidence: 99%

“…Neglecting to fulfil this obligation can lead to substantial detriment to persons and undermine the foundation of trust. The practise of digital businesses gathering, evaluating, and profiting from user data gives rise to inquiries regarding the concepts of informed consent and user privacy [36]- [40]. The ethical implications of the subject matter are of paramount importance and warrant careful consideration.…”

Section: Challenges and Considerations In The Digital Landscapementioning

confidence: 99%

Digital Dimensions: Unveiling the Potential of E-Design and Virtual Prototyping

Yadav,

Chirade,

Banerjee

et al. 2023

The design and prototyping processes have undergone significant transformation due to the emergence of E-Design and Virtual Prototyping in a time marked by remarkable technological progress. This study examines the significant influence of digital aspects on several industries, providing a comprehensive analysis of their potential for transformation. E-Design comprises a wide range of digital tools and processes that aid in the inception, development, and refining of design ideas. Through the utilisation of computer-aided design (CAD), virtual reality (VR), and augmented reality (AR), E-Design has emerged as a platform that facilitates novel opportunities for creative expression and collaborative endeavours. This technology empowers designers and engineers to surpass the limitations imposed by geographical distances, thereby promoting international collaboration and facilitating the emergence of interdisciplinary creativity. In contrast, Virtual Prototyping provides a dynamic platform that enables the iterative enhancement of prototypes, free from the restrictions imposed by physical constraints. By employing intricate simulations and digital twinning techniques, this approach expedites the cycle of product development, diminishes expenses, and mitigates the adverse effects on the environment. The rise of Virtual Prototyping has facilitated equal access to prototyping, hence enabling startups and small enterprises to engage in the process. This study examines case studies in several industries, including automotive, aerospace, architecture, and healthcare, to demonstrate the transformative impact of E-Design and Virtual Prototyping on product development and project lifecycles. This study investigates the obstacles and ethical implications linked to E-Design and Virtual Prototyping, encompassing concerns regarding data security, intellectual property rights, and the digital divide. This highlights the necessity of practising responsible innovation and implementing ethical principles in order to effectively navigate this revolutionary environment.