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Dhami, S. S.
- Effect of Nanoparticles Based Lubricants on Static Thermal Behaviour of Journal Bearings:A Review
Abstract Views :208 |
PDF Views:9
Authors
Affiliations
1 Department of Mechanical Engineering, National Institute of Technical Teachers Training & Research, Chandigarh-160019, IN
2 Department of Mechanical Engineering, UIET, PUSSGRC, Hoshiarpur (Pb.) – 146021, IN
3 Department of Mechanical Engineering, UIET, Panjab University, Chandigarh – 140413, IN
1 Department of Mechanical Engineering, National Institute of Technical Teachers Training & Research, Chandigarh-160019, IN
2 Department of Mechanical Engineering, UIET, PUSSGRC, Hoshiarpur (Pb.) – 146021, IN
3 Department of Mechanical Engineering, UIET, Panjab University, Chandigarh – 140413, IN
Source
Research Journal of Engineering and Technology, Vol 8, No 2 (2017), Pagination: 149-153Abstract
Numerous attempts have been made to reduce friction coefficients and wear rates of lubricants by enhancing their tribological properties. One of the methods used to change the properties is by adding nanoparicles to the lubricants. The addition of nanoparticles on commercially available lubricant extensively builds the viscosity of lubricants, accordingly being an intriguing resolution for enhancing the load carrying capacity of hydrodynamic bearing. This paper presents a state-of-the-art review on effect of nanoparticles based lubricants on static thermal behaviour of journal bearings. It provides a wide and good reference for researchers to be utilized. Finally, this communication states the further research directions for lubricant industry by utilizing nanoparticles to in cease efficiency and effectiveness.Keywords
Nanoparticles, Journal Bearings, Lubricants, Hydrodynamic.- Parametric Analysis and Optimization of Closed Die Forging of Gear Blank
Abstract Views :182 |
PDF Views:0
Authors
Affiliations
1 National Institute of Technical Teachers’ Training & Research, Near Institue For Blind, Sector 26, Chandigarh – 160019, IN
1 National Institute of Technical Teachers’ Training & Research, Near Institue For Blind, Sector 26, Chandigarh – 160019, IN
Source
Indian Journal of Science and Technology, Vol 10, No 26 (2017), Pagination:Abstract
Objectives: To analyze the effect of change of input parameters on the forging process using industrial component, a gear blank using the technique of FEM. Methods/Statistical analysis: The input parameters of billet shape/size, forging temperature and coefficient of friction between die workpiece interfaces were selected and the simulated experiments were designed using the technique of Response Surface Method (RSM). The simulations were done using Simufact®(MSC Corporation). The results were analyzed on die filling, defects and flash reduction. Findings: The deformation process was observed by defining flow lines and flow particles in the workpiece. The quantitative data from the flow particles gave the standard deviations of all the responses i.e. shear and normal stresses, effective plastic strain, effective stress, effective strain rate, material flow rate, load and die wear. These values were analyzed by using ANOVA and the significant parameters were highlighted. It was concluded that the parameters in the decreasing order of significance were billet size, coefficient of friction and temperature of billet. The graphical results were checked for defects, die filling and flash. Based on the simulated analysis and experimental values, mathematical models have been developed for die wear, effective strain rate and material flow rate with error ranging from 4% to 9%. It was concluded that for a defect free forging, a homogenous deformation and proper material flow with increased die life were important. Application/Improvements: The experimental production runs have shown remarkable improvement in reduction of rejects. The flash has been reduced by 60%, resulting in the saving of material.Keywords
Closed Die Forging, Metal Flow, Optimization, RSM, Simulation.- Optimization of MIG Welding Process Parameters:A Review
Abstract Views :125 |
PDF Views:0
Authors
Affiliations
1 Department of Mechanical Engineering, National Institute of Technical Teachers Training & Research, Chandigarh -160019, IN
1 Department of Mechanical Engineering, National Institute of Technical Teachers Training & Research, Chandigarh -160019, IN
Source
Research Journal of Engineering and Technology, Vol 8, No 3 (2017), Pagination: 273-276Abstract
MIG welding, also known as Metal Inert Gas welding is being widely used in industries due to its economic advantage. Quality of the welded joint is the main concern, which is a difficult task if input process parameters taken are not proper or well optimized. So, the detailed review of various design of experiments and optimization techniques have been discussed in this paper for obtaining optimal input process parameters. The output parameters such as tensile strength, microhardness, weld pool geometry etc. depend upon the input parameters i.e. wire feed rate, welding current, voltage of arc, gas flow rate, welding speed etc. These parameters are optimized by using various experiment design techniques like Response Surface Methodology, Taguchi, Factorial design. Optimization is done by using Grey Relational Analysis, Artificial Neural Network, Particle Swarm Optimization. Analysis of Variance is used for checking the model adequacy. Mathematical models are generated using regression analysis.Keywords
Optimization, MIG Welding, Weld Pool Geometry, Microhardness.References
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