Journal of Advanced Research in Mechanical Engineering and Technology

Design and Development of BIW Fixture for Front Windshield With Manual Loading, Unloading & Welding

Wed, 04 Oct 2023 00:00:00 +0000

Today’s welding fixtures for the automotive industry are crucial for auxiliary welding. The body of the car is welded together using numerous intricate sheet sections and additional support pieces. The welding fixture’s supporting role is an essential element in this project’s process. The phrase “Body in White” (BIW) is frequently used in the automotive industry to refer to the sheet metal-welded construction of the car. Automobile BIW is currently constructed of steel and an aluminum alloy. The BIW component is joined using a variety of metal joining techniques, such as MIG welding, to create a welded metal shell known
as Body in White. We need to construct a BIW fixture in order to weld it together. Fixtures are used to firmly anchor in a particular spot or to assist work, assuring the interchangeability and conformance of all parts produced using the fixture. The placement of the spot welds is to be determined in the welding fixture design. The clamps, locators, rest mylar, riser, clamp cylinder are included in the location and orientation of the fixture. At the setup planning stage, fixture design is crucial. The fixture setup is done manually in the current design due to the surface finish and precision of the machined pieces. Software called Catia is used to
design the fixture.

Finite Element Analysis of Mechanical Chair

Nitesh Pandey, Manish kumar, Amit Kumar Srivastava, Pankaj Gupta — Sat, 30 Dec 2023 00:00:00 +0000

This research explores the design of a steel chair addressing the crucial need for adaptability in modern living spaces. Advanced engineering techniques, specifically Finite Element Analysis (FEA), are employed to meticulously analyze and enhance the structural performance of this versatile furniture piece. The study focuses on simulating various scenarios using FEA to ensure that the chair meets stringent ergonomic standards, providing user safety and comfort in both seating and table configurations. The integration of transformative features, plays a pivotal role in refining the chair’s form through iterative processes based on predefined constraints. The paper systematically presents FEA findings, emphasizing stress distribution, displacement, and mass
considerations within the chair’s structure. Simultaneously, visual insights into the chair’s design evolution through Generative Design offer a comprehensive understanding of its transformative journey.

Designing Ergonomically Equipped Professionalism Equipment for Artists and Orators

Nitesh Pandey, Amit Kumar Srivastava, Pankaj Gupta — Sat, 30 Dec 2023 00:00:00 +0000

The beauty of stage is somewhere depended on a piece of equipment called lectern or a stand. The symbol of professionalism depending on the occasion, make it versatile and having many forms. All orators and musicians use various equipment during their presentation. One of the common equipment that is used is a lectern or a podium. Mostly musicians use an adjustable stand which works as a podium for them. The design of that stand for musicians, book readers, etc., should be adjustable and ergonomically so that they can spend more time without any fatigue and pain. It also boosts the confidence and give the structure to the orator with carrying necessary items like notes, laptop etc. Sometimes there is an unavailability of podium stand due
to its structure and weight. To solve this problem a multifunction stand is designed with ergonomic concepts. It is an adjustable, lightweight, highly functional, and easy to carry equipment for orators. The design is made to hanger the notes, laptop or necessary tools. The conversion of stand into a small cylindrical shape makes it easy to carry.

Advancements in Mechanical Engineering: Integrating Technologies and Techniques

Kashish Mishra — Sat, 30 Dec 2023 00:00:00 +0000

The integration of advanced simulation and modeling methodologies stands as a pivotal force driving innovation and precision within the domain of mechanical engineering. This article delves into the transformative impact of computational tools such as Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), multidisciplinary simulations, and AI-driven models, revolutionizing design, analysis, and optimization paradigms. Finite Element Analysis enables engineers to dissect complex structures, predicting behaviour under diverse conditions and fostering designs of optimized strength and durability. Computational Fluid Dynamics facilitates the understanding and optimization of fluid flow phenomena, revolutionizing systems’ efficiency and sustainability. Multidisciplinary simulations offer holistic insights into interactions within intricate systems, enhancing overall performance. The integration of AI and machine learning into simulations accelerates design iterations, enabling rapid scenario analysis and innovation previously deemed unattainable. Real-time simulations and virtual prototyping expedite development cycles, reducing costs and risks associated with traditional approaches. Despite the transformative potential, challenges encompass computational complexity, validation accuracy, and AI integration. Addressing these challenges requires continual innovation and interdisciplinary collaboration, ensuring the reliability and efficacy of simulation methodologies.
As mechanical engineering advances, these computational tools remain at the forefront, empowering engineers to pioneer designs that optimize performance, reduce risks, and drive technological advancements across industries. Embracing advanced simulation and modeling isn’t merely a choice; it’s a catalyst propelling engineering into a future defined by precision, innovation, and efficiency.

Artificial Intelligence and Machine Learning in Mechanical Engineering

Nisha Lamba — Sat, 30 Dec 2023 00:00:00 +0000

The convergence of Artificial Intelligence (AI) and Machine Learning (ML) within the domain of mechanical engineering stands as a transformative force reshaping the landscape of innovation and technological advancement. This review encapsulates the multifaceted impact, challenges, and future prospects arising from the integration of AI and ML technologies within mechanical engineering. The exploration begins by elucidating the paradigm shift in design and optimization processes, empowered by generative design and data-driven algorithms. It delves into predictive maintenance strategies, highlighting AI’s role in pre-empting machinery failures and optimizing reliability. Furthermore, it uncovers the landscape of smart manufacturing and robotics, elucidating how AI augments efficiency and agility on factory floors. The review navigates the role of AI and ML in fostering energy efficiency and sustainability, elucidating their pivotal contribution to eco-friendly practices and resource optimization. Additionally, it tackles the array of challenges encompassing data quality, interpretability, ethical dilemmas,
and societal impacts inherent in the proliferation of these technologies. Looking toward the future, the review outlines the potential advancements in algorithms, human-machine collaboration, and ethical frameworks that pave the path for a future defined by intelligent, adaptive, and responsible systems within mechanical engineering. In conclusion, the review underscores the imperative for responsible innovation, ethical considerations, and interdisciplinary collaborations toharness the full potential of AI and ML while ensuring their integration aligns with societal aspirations for progress, sustainability, and inclusivity within the realm of mechanical engineering.