Many applications in our everyday living are totally depending on using the robots. So that, the need for having smart and more productive robots is increasing. Developing such robots necessitates the programming of the robot. Hence, the machine learning approaches are widely employed to accomplish this objective successfully. Programming the robot can be applied by demonstration such that the skills are transferred to robots through supplying examples of the desired movement. Multiple trajectories are observed and modelled in order to learn new skills by obtaining a general trajectory of the

Corrosion of steel reinforcement is reason of many deteriorations in RC structures especially in coastal areas. Thus, the conventional steel rebars should be replaced by other alternatives to mitigate this phenomenon, consequently, enhance the durability of structures. In this article, combined utilization of glass fiber reinforced polymer (GFRP) and stainless-steel (SS) is proposed as a substitute of traditional steel. To provide adequate strength and ductility with acceptable cost, GFRP is utilized as distributed and concentrated reinforcement overall wall, while SS is partially used as

Autonomous Vehicles (AVs) are critical, and nowadays are essential technology that transfers traditional transportation systems into smart, and driverless ones. Considering the available processed data and information that came from localization, perception, and HD map, AVs could exceed the limit of the efficiency and safety of those conventional systems. AVs could use enhanced techniques and algorithms to execute safety-critical scenarios in dynamic environments that have static and dynamic obstacles, traffic signs,..., etc. This paper aims to propose a novel motion planning algorithm that

The evolution of alloy-based materials, transitioning from simple binary alloy systems to more intricate compositions, has played a pivotal role in facilitating the advancement of innovative technologies and, in turn, driving social progress. This transformative journey has been accompanied by a significant enhancement in humanity’s capacity to create novel materials. High-entropy alloys (HEAs) have emerged as a recent and noteworthy class of materials due to their novel concept and remarkable properties. These alloys exhibit exceptional mechanical characteristics, boasting impressive strength

High-entropy alloys (HEAs) have emerged as a promising class of materials that exhibit exceptional mechanical properties, corrosion resistance, and high-temperature stability. They have become a significant area of research in the materials science domain owing to their potential for a wide range of applications. This chapter provides an overview of the concept, phase selection rules, the challenges faced, and the future perspectives of HEAs. © 2024 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies.

High-entropy alloys (HEAs) are a relatively new class of materials that have been attracting significant attention in material science and engineering research. This chapter provides an introductory discourse on the microstructural characterization and properties of these fascinating materials. The term “HEAs” refers to an innovative concept of metallic materials composed of multiple principal elements, each with concentrations between 5% and 35%. Unlike conventional alloys, which typically comprise one principal element with minor alloying additions, HEAs possess a unique composition that can

Despite the fact that numerous equiatomic and nonequiatomic high-entropy alloys (HEAs) have been observed to form a single solid solution (SS), it has also been established that several intermediate phases can emerge, some of which exhibit the structural characteristics of intermetallic compounds (ICs) such as Laves, B2, sigma, L12, and amorphous phases. This phenomenon has been extensively documented by researchers, and it is primarily attributed to a range of competing factors, including the mixing enthalpy, mixing entropy, and disparities in atomic sizes among the constituent elements

High-Entropy Alloys: Design, Manufacturing, and Emerging Applications presents cutting-edge advances in the field of these materials, covering their mechanics, methods of manufacturing, and applications, all while emphasizing the link between their structure/microstructure and functional properties. The book starts with a section on the fundamentals of high-entropy alloys (HEAs), with chapters discussing their thermodynamics, subgroups (transition metal; refractory; ceramics; metallic glasses and more), physical metallurgy, and microstructural characterization. The next section features

This study presents a comprehensive examination of the Al-Zn-Mg-Cu alloy, focusing on the effects of high strain rate dynamic compression and heat treatment on its performance. The research aimed to understand the underlying microstructural mechanisms contributing to the enhanced mechanical properties of the alloy, which is critical for applications in aerospace and automotive industries. High strain rate dynamic compression tests, conducted at 3.0 × 1000 s−1, revealed a significant increase in both yield strength and ultimate compression strength of the Al alloy, which was accompanied by a

The just-in-time concept, mass customization, omnichannel distribution, and the rising global population have all fueled the logistics sector. Consequently, using automation inside the warehouses to make them more dynamic and sustainable for the future is one of the crucial components to adapt to this quick shift. Giants in the industry and technology are becoming more interested in the “smart warehouse” system, built with innovative warehousing technologies, as an achievable solution for the development of warehouses in the future. To contextualize the past and provide light on prospective