Rotan Kumar Saha - Academia.edu (original) (raw)
Rotan Kumar Saha is a very energetic researcher. He is currently studying M.sc Engineering department of Mechanical Engineering at Dhaka University of Engineering & Technology, Gazipur (DUET). He is a graduate student at Dhaka University of Engineering and Technology, Gazipur Department of Industrial and Production Engineering. He is interested in topics like Lean manufacturing, lean six sigma, TQM, Additive manufacturing etc.
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Papers by Rotan Kumar Saha
In this experimental work, focuses on the investigation of the effect of cutting parameters on su... more In this experimental work, focuses on the investigation of the effect of cutting parameters on surface Roughness and to minimize surface roughness. A CNC lathe machine has conducted the experiments. Dry turning tests are carried out on hardened steel with coated carbide cutting tools. This study sought to give systematic and trustworthy techniques for manufacturers and engineers to efficiently optimize machining parameters, tool selection, and process conditions by using Taguchi Design Optimization. The experiments revealed that the most favorable combination of cutting parameters, which resulted in a minimum surface roughness of 2.6 µm, corresponded to a cutting speed (V) of 120 m/min, a feed rate (F) of 0.2 mm/rev, and a depth of cut (D) of 0.08 mm, yielding an S/N ratio of-8.29947. The utilization of coated tools has been identified as beneficial for enhancing the machining of hard materials when employing higher speeds and reduced feed rates. The findings from this research reveal that the feed rate plays a paramount role in influencing both Ra and Rz. Furthermore, it is noteworthy that the interplay between two factors, namely the feed rate and cutting speed, as well as the depth of cut and cutting speed, exerts notable effects.
The expanding manufacturing sector of plastic items is coming about because of the injection mold... more The expanding manufacturing sector of plastic items is coming about because of the injection molding process and the quick advancement of existing innovation. One of the most time-consuming, non-value-added tasks in a manufacturing process is setup, or changeover. The study was conducted at a plastic product manufacturing company in Bangladesh. This study's goal was to demonstrate how changeover time reduction approaches may be used in a medium-sized production facility to cut down on total process lead time with the assistance of lean manufacturing tools. The analysis of numerous factors, including non-conformities, complaints, and delivery delays, revealed improvement prospects. In this research, three cases were considered for reducing overall changeover time: one is Reduce 7 Wastes (Case 1), the second is Improve SMED with 5S and 7 Wastes (Case 2), and the third is Total Change Over Works, which can be classified into external and internal works (Case 3). After implementing improvement measures, changeover time was reduced by 18%-33%. The most essentially decreased changeover time was 33% compared to the result for case 2, and they improved their main manufacturing line's output capacity by 10% by focusing on lean tools (5S, SMED, 7 waste). The company was able to avoid using temporary workers due to this development since it allowed employees to work longer hours during peak times. The study also explores how these techniques may be used in other major manufacturing industries that engage in mass production at several worldwide locations, in addition to a medium-sized facility.
Proceedings of the International Conference in Industrial & Mechanical Engineering and Operations Management (IMEOM)
In this experimental work, focuses on the investigation of the effect of cutting parameters on su... more In this experimental work, focuses on the investigation of the effect of cutting parameters on surface Roughness and to minimize surface roughness. A CNC lathe machine has conducted the experiments. Dry turning tests are carried out on hardened steel with coated carbide cutting tools. This study sought to give systematic and trustworthy techniques for manufacturers and engineers to efficiently optimize machining parameters, tool selection, and process conditions by using Taguchi Design Optimization. The experiments revealed that the most favorable combination of cutting parameters, which resulted in a minimum surface roughness of 2.6 µm, corresponded to a cutting speed (V) of 120 m/min, a feed rate (F) of 0.2 mm/rev, and a depth of cut (D) of 0.08 mm, yielding an S/N ratio of-8.29947. The utilization of coated tools has been identified as beneficial for enhancing the machining of hard materials when employing higher speeds and reduced feed rates. The findings from this research reveal that the feed rate plays a paramount role in influencing both Ra and Rz. Furthermore, it is noteworthy that the interplay between two factors, namely the feed rate and cutting speed, as well as the depth of cut and cutting speed, exerts notable effects.
The expanding manufacturing sector of plastic items is coming about because of the injection mold... more The expanding manufacturing sector of plastic items is coming about because of the injection molding process and the quick advancement of existing innovation. One of the most time-consuming, non-value-added tasks in a manufacturing process is setup, or changeover. The study was conducted at a plastic product manufacturing company in Bangladesh. This study's goal was to demonstrate how changeover time reduction approaches may be used in a medium-sized production facility to cut down on total process lead time with the assistance of lean manufacturing tools. The analysis of numerous factors, including non-conformities, complaints, and delivery delays, revealed improvement prospects. In this research, three cases were considered for reducing overall changeover time: one is Reduce 7 Wastes (Case 1), the second is Improve SMED with 5S and 7 Wastes (Case 2), and the third is Total Change Over Works, which can be classified into external and internal works (Case 3). After implementing improvement measures, changeover time was reduced by 18%-33%. The most essentially decreased changeover time was 33% compared to the result for case 2, and they improved their main manufacturing line's output capacity by 10% by focusing on lean tools (5S, SMED, 7 waste). The company was able to avoid using temporary workers due to this development since it allowed employees to work longer hours during peak times. The study also explores how these techniques may be used in other major manufacturing industries that engage in mass production at several worldwide locations, in addition to a medium-sized facility.
Proceedings of the International Conference in Industrial & Mechanical Engineering and Operations Management (IMEOM)