S. Sowjanya ¹, D. Sreeramulu ¹, C. J. Rao ¹

Affiliations
1 Department of Mechanical Engineering, AITAM Engineering College, Tekkali - 532201, Andhra Pradesh, IN

Abstract

The heat generated at the tool-chip interface dissipates the heat into the tool, which causes the rise in temperature at the tool tip during the metal cutting process. The temperature rise in cutting tool tends to soften it and causes loss of tool material in the cutting edge leading to its failure. Objective: To determine the temperature distribution along the tool tip for different cutting parameters like feed rate, cutting speed and depth of cuts. Method: In this study, tool chip interface temperature was determined in cutting of mild steel workpiece with HSS as the cutting tool. The effects of different parameters like cutting speed, feed rate and depth of cut are taken into account so as to predict their effects on tool life are studied both in experimental and numerical analysis. Finding: In present work the tool life of HSS tool is evaluated at different cutting parameters during turning process. It has been found that the tool life is decreases with feed rate and cutting speed. The optimal process parameters found in turning process are high cutting speed, low depth of cut and lower feed rate. Conclusion: The results have shown that change in cutting speed and feed rate has the maximum effect on cutting temperature than depth of cut.

Keywords

Cutting Speed, Cutting Temperature Distribution, Depth of Cut, Feed Rate, Tool Life

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K. Ramarao ¹, C. J. Rao ¹, D. Sreeramulu ¹

Affiliations
1 Department of Mechanical Engineering, AITAM Engineering College, Tekkali - 532201, Andhra Pradesh, IN

Abstract

Objective: To determine the engine performance and emissions of a single cylinder Direct Injection (DI) diesel engine using diesel-biodiesel blends with nano additive. Method: Blends of diesel-biodiesel of different proportions are prepared, to which Nano additive Cerium Oxide (CeO2) is added. Properties like Flash point, Fire point, Calorific values are established for these blends. This fuel is used in single cylinder Direct Injection (DI) 4-strok diesel engine and performance of the engine is recorded along with emission details. Finding: In this present investigation cotton seed oil is taken as base oil (biodiesel) and Cerium Oxide (CeO2) as Nano additive. By using by using different blends of cotton seed oil methyl esters, for which Cerium Oxide (CeO2) Nano additives of size 30-50 nm is added in different proportions with neat diesel fuel. The experiments were conducted on a single cylinder Direct Injection (DI) 4-strok diesel engine, and observed the variation of Specific Fuel Consumption (SFC), Brake Thermal Efficiency, Air-Fuel ratio, Exhaust Gas Temperature (EGT), NOx emissions, Carbon Monoxide (CO), and Hydro Carbons (HC) emissions. Conclusion: The results have shown lower fuel consumption, better performance, and lower emissions of Carbon Monoxide (CO), Hydro Carbons (HC) but higher emissions of (NOx), in comparison to neat diesel fuel.

Keywords

Biodiesel, Engine Performance, Exhaust Emissions, Nano Additive

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D. Sreeramulu ¹, Y. Sagar ¹, P. Suman ², A. Satish Kumar ¹

Affiliations
1 Department of Mechanical Engineering, Aditya Institute of Technology and Management, Tekkali - 532201, Andhra Pradesh, IN
2 Department of Mechanical Engineering, Centurion University of Technology and Mangement, Parlakhemundi - 761211, Odisha, IN

Abstract

This paper presents a new approach towards the integration of process planning and scheduling functions in the manufacturing systems using Petri nets and genetic Algorithm. The modelling and cost estimation technique is based on a new Petri net model: the PP-net (Process Planning net) which represents manufacturing knowledge in the form of precedence constraints and incorporates the cost of machining operations in each operation transition. Using this model as the base, the process plan for the part is developed taking into account the manufacturing costs caused by the machine, setup and tool changing in addition to the pure operation cost. The method proceeds in the cost calculation by attaching a specific data structure to each PP-net transition which describes the associated machine, setup and the tool for the operation modelled by the transition. After the model is created, it is analyzed for the cost and the minimum time of processing of the part. Scheduling is done using Genetic Algorithms to find the minimum tardiness as the objective on three parts which use the same machines and setups.

Keywords

CAPP, PNML, PP-net, Process planning, Scheduling.

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