MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

School of Mechanical Engineering

High systems’ reliability is crucial in competitive industrial plants. System Reliability-Redundancy Allocation (RRA) is an essential design consideration for maximizing the overall systems’ reliability under various systems’ constraints. This paper addresses the system RRAP problem by investigating two effective nature-inspired optimization techniques, namely Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO), implemented with penalty functions. Their capability in solving the RRA problem is evaluated regarding a system consisting of fifteen subsystems connected in series. Results show that the PSO is a better approach to solving this problem than the GWO. © 2022

World University root node

Engineering and Technology

Materials Today: Proceedings

System Reliability-Redundancy optimization with High-Level of subsystems

As the importance of hose reels is known in applications such as fire and safety systems, agricultural equipment, underwater diving equipment and oil industries, it is also worth observing the need of hose reels for applications involving the suction (negative) pressures. Some of the applications of negative pressures or vacuum include sewage and drainage cleaning systems, coal industries, cement industries and many more. So, it becomes of utmost importance to develop equipment that increase the convenience using vacuum for various applications. One such equipment for increasing the convenience for applications involving vacuum would be a hose reel. It is proposed to develop a hose reel that is acclimated to high vacuum pressures. The effect of different parameters associated with the seal materials and their effect on sealing performance using FEA tool will also be studied. © 2022 Wolters Kluwer Medknow Publications. All rights reserved.

Journal of Pharmaceutical Negative Results

Development of a Hose Reel (Swivel Joint) Suitable for High Suction Pressures

Biomaterials used in implants or clinical instrumentation are commonly used for the re-alignment, replacement, and treatment of deteriorated tissues, broken structures, or other injuries. The study of biomaterials is primarily involved in the chemical and biology field collectively known as biochemistry, biology, tissue engineering, and material science. Appropriate material selection and their characterization is crucial consideration while manufacturing medical implants. The biomaterial used for different medical implants should possess desirable properties, mechanical strength, biostability, good corrosion resistance, and biocompatibility to get acquainted in the physiologic environments. However, many important researches in biomaterial science have come focusing on improving the physical, mechanical and chemical properties regarding the material of implant and thereby improvising the implant strength. This overview examines metallic and ceramics biomaterials which are commonly used biomaterials used in medical implants while primarily focusing on the composition, mechanical properties, advantages, limitations, and applications of the materials. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Recent Advances in Manufacturing Processes and Systems

An Overview on Metallic and Ceramic Biomaterials

This paper aims to develop a predictive model and optimize the performance of the abrasive water jet machining (AWJM) during machining of carbon fiber-reinforced plastic (CFRP) epoxy laminates composite through a unique approach of artificial neural network (ANN) linked with the nondominated sorting genetic algorithm-II (NSGA-II). Initially, 80 AWJM experimental runs were carried out to generate the data set to train and test the ANN model. During the experimentation, the stand-off distance (SOD), water pressure, traverse speed and abrasive mass flow rate (AMFR) were selected as input AWJM variables and the average surface roughness and kerf width were considered as response variables. The established ANN model predicted the response variable with mean square error of 0.0027. Finally, the ANN coupled NSGA-II algorithm was applied to determine the optimum AWJM input parameters combinations based on multiple objectives. © 2022 World Scientific Publishing Company.

Surface Review and Letters

MODELING and MULTI-RESPONSE OPTIMIZATION of ABRASIVE WATER JET MACHINING USING ANN COUPLED with NSGA-II

Since the first Industrial Revolution the trends in manufacturing have evolved a lot, from mechanical production to the era of smart manufacturing via technologies like Cyber Physical Systems, Internet of Things, Big Data, Cyber Security, Cloud Computing, Additive Manufacturing, Advanced robots, Modelling and Simulation and Augmented Virtual Reality. These technologies are enabling Interoperability and integration of various processes and departments in an organization because of the attribute of real-time inter-connectivity. Due to high inter-connectivity advantages like shorter development time, mass customization and modularity, configurability can be brought into existence. This will not only change the dynamics of the production lines but also add to the profit ratio of an organization by controlling over inventory via virtualization and predictive manufacturing. Due to such attributes of the Industry 4.0 paradigm, understanding them in depth is necessary. Hence, this paper aims to review many such characteristics, enablers, and main drivers of the Industry 4.0 paradigm and ultimately provides insight on the future scopes of each of the main pillars of Industry 4.0. © 2021

Journal of Industrial Information Integration

A comprehensive study on current and future trends towards the characteristics and enablers of industry 4.0

A Go-Kart is a four-wheeled vehicle having low ground clearance and does not involve a differential and suspension. The present study focuses on the analysis of an electric Go-Kart chassis frame based on proper material selection and optimized chassis thickness. To find the optimum material and thickness, a comparative analysis was conducted with three different materials, namely AISI 1018, AISI 1020 and AISI 4130, which were selected based on their yield tensile strength values. Similarly, the effect of stress on thickness variation of the chassis is analysed by varying the thickness values between 1.4 and 2 mm in a step of 0.2 mm. From the numerical studies, the results show that the AISI 1018 is the suitable material based on the factor of safety, weldability and machinability. Optimizing the thickness of the chassis helps chassis weight and cost reduction. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Smart Innovation, Systems and Technologies

Optimization of Electric Vehicle Ladder Frame Chassis Based on Material and Thickness Parameter Variation Using FEA

A blood collection monitor is a device used during the blood collection process to provide a shaking moment to the blood being received from the donor thereby mixing the blood homogeneous with the anticoagulants in the blood bag. The shaking moment and anticoagulants prevent blood coagulation. The amount of blood to be collected varies from donor to donor which ranges from 350 ml to 450 ml. The existing electronic blood collection monitors being used in hospitals and laboratories include not only mechanical but also an electric mechanism that provides oscillations to a blood bag, quantify the blood amount and measure the flow of blood. However, the dependency of these devices on external electric power sources limits its application in rural areas as well as large-scale donation camps. The present study offers a mechanical blood collection monitor which does not require any external power for its functioning and thereby overcomes the drawbacks of the conventional device. The present paper offers the design considerations and systematic study of the proposed mechanical blood collection monitor. Additionally, the linkage mechanism and associated gear train were analysed using ANSYS and ADAMS which further opens up the ways to study the variations in kinetic energy and torquing moment. © 2021

Design and development of mechanically operated blood collection and monitoring device

The use of conventional fiber (Glass/Carbon) reinforced polymer composites is not enough for many applications in modern world and hence hybrid polymer composites are required which can overcome the specific needs of various applications. In this study, farm-wastes are used to manufacture a hybrid composite which made it a cleaner material along with cost efficient one as well. Basalt reinforced sheep wool, paddy straw and bagasse based hybrid polymer composites with laminate structure were prepared using compression molding. Basalt fiber mats were kept on both sides of the mold and sheep wool content was varied in each composite sample. The composites then tested for their tensile, impact and thermal properties. The study on basalt-paddy straw-sheep wool and basalt-bagasse-sheep wool hybrid composites clearly brought out the effective use of waste material for producing value added product with improved properties. Varying of sheep wool also had optimum effect on these composites. Just 10% of sheep wool in these hybrid composites leads to more than 1.5 times improvement in tensile strength, 5 times increase in modulus, 3 times increase of elongation, and 2 times increase of charpy impact value at 20% sheep wool concentration. The thermal stability is also improved by 8–10 degrees as degradation temperature is increased. The sheep wool is more effective in basalt-paddy straw hybrid composite than the bagasse hybrid one. © 2022 The Authors

School of Polymer Engineering

Cleaner Materials

Tensile, impact and thermal properties of farm-waste based hybrid basalt polymer composites

Mathematical modeling of a helical coil thermal oil heater is difficult due to the complex heat transfer interaction between thermal oil and flue gas. The present publication reports the development of a transient model for the study of transient and steady-state behavior of fired helical coil thermal oil heaters. The mathematical model aims to predict the distribution of the flue gas temperature, thermal oil temperature, and tube wall temperature. A model is used for the accurate prediction of flame temperature and tube wall temperature. Prediction and control of the tube wall temperature are critical for the design and operation of a fired thermal oil heater. © 2022, Begell House Inc. All rights reserved.