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The main objective of the work is to investigate the friction and wear behavior of sintered copper-based brake composite friction material with a change in the volume percentage of soft reinforcement particles namely MoS2 by pin-on-disc tribometer for medium-duty automotive applications. The composite brake friction material contains copper (Cu) as a matrix, tin (Sn) as an additive, silicon carbide (SiC) and molybdenum disulfide (MoS2) as hard and soft reinforcement particles and barium sulfate (BaSO4) as filler. These hybrids copper-based brake composite friction (pin) samples are successfully prepared by a change in compositions of MoS2 from 0 to 5 vol. % in the step of 1 vol. % and the characterizations of friction samples are studied to understand the physical and mechanical properties such as density, hardness, and compressive strength.

Wear of components is a critical factor influencing the service life of a product. Thus wear prediction and simulation has become an important part of engineering. One of the most common forms of wear in mechanical components is sliding wear. Factors affecting dry sliding wear include normal load, relative speed, geometry (both macroscopic and microscopic), temperature, material properties and environmental conditions. Sliding wear experiments are done using tribometers. However, such experiments are expensive and time consuming. In the past few decades, a Finite Element Method (FEM) based wear simulation approach has gained popularity. The objective of the present work is the numerical wear prediction of 2D steel-on-steel pin-on-disc dry sliding contact using Finite Element Method (FEM). Initially, the 2D elastic contact problem is solved using non linear finite element method to obtain the pressure at the contact nodes.

The main drawbacks of the IC engine are low thermal and mechanical efficiencies with a significant proportion of fuel energy is dissipated as heat, and about 12% fuel energy is lost due to friction. Many research works are going on to reduce these losses in IC engine, as, even if, reduction of 10% in total friction loss can be achieved it will result in 1.5% drop in fuel consumption, which will ultimately give huge economic benefit. It has been recently identified, that optimally texturing of a tribological surface reduces friction and wear at sliding contact interfaces, as it acts as a micro-reservoir for lubricant and entraps wear particles. In the present study, this theory is utilized to reduce friction in piston ring-cylinder liner (PRCL) contact by using micro textured piston ring. Tribological performance of micro textured PRCL system is investigated under medium passenger vehicle engine operating conditions using reciprocating tribometer test rig.

The aim of this work is to investigate the synergistic effect of Multiwall Carbon Nanotube (MWCNT) in a Cu/SiC hybrid composite brake friction material. The brake hybrid composite materials were prepared using copper as a matrix, silicon carbide as a reinforcing fibre, graphite as a solid lubricant and barium sulphate as a filler combined with varying volume percentage (0.0, 0.5, 1.0, 1.5 and 2.0) of Multiwall Carbon Nanotube (MWCNT) by conventional powder metallurgy technique. The prepared brake friction materials are characterized for compression strength, density and hardness to analyze their mechanical properties. The friction and wear behaviour of the composite were carried out using a fully instrumented pin-on-disc (PoD) test rig with linear variable differential transducer for wear rate and strain gauge for friction measurement under dry condition for medium duty applications.

Minimum weight and high-efficiency gearboxes with the maximum service life are the prime necessity of today’s high-performance power transmission systems such as automotive and aerospace. Therefore, the problem to optimize the gearboxes is subjected to a considerable amount of interest. To accomplish these objectives, in this paper, two generalized objective functions for two stage spur-gearbox are formulated; first objective function aims to minimize the volume of gearbox material, while the second aims to maximize the power transmitted by the gearbox. For the optimization purpose, regular mechanical and critical tribological constraints (scuffing and wear) are considered. These objective functions are optimized to obtain a Pareto front for the two-stage gearbox using a specially formulated discrete version of non-dominated sorting genetic algorithm (NSGA-II) code written MATLAB. Two cases are considered, in the first with the regular mechanical constraints.