The uses of fillers (HGM) in composites are creating new opportunities in the composite industry. Hollow Glass Microspheres (also known as Glass Balloons or Glass Bubbles) are Soda-lime-borosilicate glass hollow spheres with thin walls used as low-density filler material which can reduce final part weight by up to 15% or more without compromising the mechanical integrity. Glass Bubbles occupy 20x more space than equal weight of typical mineral filler thus reducing the cost per unit volume, therefore, the need for lightweight and high-strength materials for modern engineering applications may be fulfilled by the HGM reinforced composites.
Abstract: In coming years, moving towards hundred percent electric vehicle is one of the key areas in automotive industry. The main advantage of using e-mobility is operational flexibility, lower carbon emission and regenerative energy. Thermal management in e-vehicle plays vital role for reliability of the system and any thermal failure can cost significant amount of money to a company per vehicle. Inverter assembly is widely used to convert Direct Current (DC) to Alternating Current (AC) in e-mobility platform to operate the motor for vehicle propulsion. It consists of various electronic transmitters, controllers, capacitors, and semi-conductors which will emit the enormous amount of heat during operation. Since the inverters are highly temperature sensitive in nature, it is necessary to improve the temperature distribution in the device. For this reason, adequate cooling system and ventilation is inevitable to keep the components operational.
This paper proposes a visual dirt detection algorithm and a novel adaptive tiling-based selective dirt area coverage scheme for reconfigurable morphology robot. The visual dirt detection technique utilizes a three-layer filtering framework which includes a periodic pattern detection filter, edge detection, and noise filtering to effectively detect and segment out the dirt area from the complex floor backgrounds. Then adaptive tiling-based area coverage scheme has been employed to generate the tetromino morphology to cover the segmented dirt area. The proposed algorithms have been validated in Matlab environment with real captured dirt images and simulated tetrominoes tile set. Experimental results show that the proposed three-stage filtering significantly enhances the dirt detection ratio in the incoming images with complex floors with different backgrounds such as car windshield glass.
Heat transfer optimization is a crucial aspect of the design process for Formula Student race cars, particularly for the radiator, usually housed in a side pod. For the car to operate at peak performance, a well-designed radiator-sidepod system is essential such that it can dissipate heat generated by the engine faster, for the car to run in optimal performance. Testing the car physically for various radiator-sidepod design iterations is a very difficult task, also considering the costs to manufacture the radiator-sidepod setup. Computational Fluid Dynamics can be used to simulate and analyze the fluid flow and heat transfer in the setup, and can also find out the impact of changing the parameters of the radiator and sidepod, without any expenditure. It can also consider various environmental factors, which can’t be accounted for in theoretical calculations with ease.
One of the most fundamental safety-critical systems in modern vehicles is the braking system. In vehicles, disc brake systems are used to perform three basic functions: reducing vehicle speed, maintaining vehicle speed while travelling downhill, as well as completely stopping the vehicle. Frictional heat generated during braking can have a number of negative effects on the brake assembly, including brake fade, premature wear, thermal cracks, and disc thickness variation. Sometimes the structural integrity of the disc brake components fails, and/or the pads experience excessive wear. The primary goal of this research is to use commercial finite-element software to determine disc temperature and examine stress and structural deformation of brake discs and pads during braking events. The deformation and stress established in the disc as well as the contact pressure distribution in pads are then calculated using the thermal-structural analysis.
Nickel based Superalloysare widely used in engineering applications such as the manufacture of various engineering components such as chemical processing components and food processing equipment. They are frequently regarded as difficult to machine in traditional material removal processes due to properties such as high thermal conductivity and strength. As an alternative approach, modern methods for machining this type of harder material are being developed. Wire Electrical Discharge Machining is one of the modern approaches used in this study for machining harder materials. The purpose of this article is to develop a Grey-based Adaptive Neuro Fuzzy Inference System (ANFIS) for predicting WEDM variables.The paper employs Taguchi's design and analysis approach to investigate the model's variable inputs.