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Hiren Gajera

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Papers by Hiren Gajera

Research paper thumbnail of Parametric Optimization on Plasma Arc Cutting Machine for Aisi 1018

International Journal of Advance Engineering and Research Development, May 31, 2015

In this study we choose plasma cutting machine as our main machine tool and AISI1018 material als... more In this study we choose plasma cutting machine as our main machine tool and AISI1018 material also used .with the start of globalization there are many company emerges. So, there are more than one compa ny make similar product to sustain this competitive market we must make product which quality is good and must have low price.so with the use of optimization technique we must make our product more economical and also save time coast.so that's why we consider GRA and some other optimize technique issued to find out optimum solution for the machine where it give its best performance.

Research paper thumbnail of Improving quality of maintenance task for milk powder manufacturing unit through TOPSIS

Journal of Quality in Maintenance Engineering

PurposeThe purpose of this paper is to explore the possibilities of improving the quality of exis... more PurposeThe purpose of this paper is to explore the possibilities of improving the quality of existing maintenance task of the atomizer of milk powder manufacturing unit of a dairy plant. Looking to the past business volume and expected growth, the milk powder manufacturing unit forms a noticeable sector of processing plant. The lack of quality in maintenance standards leads to reliability losses of about 20–25% with low productivity and profit. Such facts and challenges of keeping the system in ready-state motivate a definite maintenance plan to be modeled based on a live failure analysis to be executed during shutdown or scheduled period.Design/methodology/approachThe deliverables are achieved by collecting the historical failure data i.e. downtime and failure frequencies; from January 2020 to July 2020 at Dudhsagar dairy, Gujarat, India. Reliability modeling is done in a view to understand the failure pattern behavior of the milk powder manufacturing unit. The atomizer is discrimi...

Research paper thumbnail of Investigation of cutting temperature, cutting force and surface roughness using multi-objective optimization for turning of Ti-6Al-4 V (ELI)

Materials Today: Proceedings

Research paper thumbnail of Experimental Investigation and Optimization of Direct Metal Laser Sintered CL50WS Material Using Desirability Function Approach

Advanced Materials Research

The aim of the this study to determine optimal process parameter for the hardness of direct metal... more The aim of the this study to determine optimal process parameter for the hardness of direct metal laser sintering (DMLS) process as the hardness plays a significant role in to DMLS made components and die or mould. In this manner, research is focused around determining the effect of process parameters like laser power, scanning speed, layer thickness and hatch spacing on the hardness of CL50WS (maraging18Ni300 steel) material. A response surface methodology based numerical model was proposed to predict hardness, and the adequacy of the created model was checked through the analysis of variance technique. Additionally, optimized conditions were set up to maximize the hardness through the desirability function theory.

Research paper thumbnail of Experimental Investigation and Optimization of Direct Metal Laser Sintered CL50WS Material Using Desirability Function Approach

Advanced Materials Research

The aim of the this study to determine optimal process parameter for the hardness of direct metal... more The aim of the this study to determine optimal process parameter for the hardness of direct metal laser sintering (DMLS) process as the hardness plays a significant role in to DMLS made components and die or mould. In this manner, research is focused around determining the effect of process parameters like laser power, scanning speed, layer thickness and hatch spacing on the hardness of CL50WS (maraging18Ni300 steel) material. A response surface methodology based numerical model was proposed to predict hardness, and the adequacy of the created model was checked through the analysis of variance technique. Additionally, optimized conditions were set up to maximize the hardness through the desirability function theory.

Research paper thumbnail of Parametric Optimization on Plasma Arc Cutting Machine for Aisi 1018

International Journal of Advance Engineering and Research Development, May 31, 2015

In this study we choose plasma cutting machine as our main machine tool and AISI1018 material als... more In this study we choose plasma cutting machine as our main machine tool and AISI1018 material also used .with the start of globalization there are many company emerges. So, there are more than one compa ny make similar product to sustain this competitive market we must make product which quality is good and must have low price.so with the use of optimization technique we must make our product more economical and also save time coast.so that's why we consider GRA and some other optimize technique issued to find out optimum solution for the machine where it give its best performance.

Research paper thumbnail of Improving quality of maintenance task for milk powder manufacturing unit through TOPSIS

Journal of Quality in Maintenance Engineering

PurposeThe purpose of this paper is to explore the possibilities of improving the quality of exis... more PurposeThe purpose of this paper is to explore the possibilities of improving the quality of existing maintenance task of the atomizer of milk powder manufacturing unit of a dairy plant. Looking to the past business volume and expected growth, the milk powder manufacturing unit forms a noticeable sector of processing plant. The lack of quality in maintenance standards leads to reliability losses of about 20–25% with low productivity and profit. Such facts and challenges of keeping the system in ready-state motivate a definite maintenance plan to be modeled based on a live failure analysis to be executed during shutdown or scheduled period.Design/methodology/approachThe deliverables are achieved by collecting the historical failure data i.e. downtime and failure frequencies; from January 2020 to July 2020 at Dudhsagar dairy, Gujarat, India. Reliability modeling is done in a view to understand the failure pattern behavior of the milk powder manufacturing unit. The atomizer is discrimi...

Research paper thumbnail of Investigation of cutting temperature, cutting force and surface roughness using multi-objective optimization for turning of Ti-6Al-4 V (ELI)

Materials Today: Proceedings

Research paper thumbnail of Experimental Investigation and Optimization of Direct Metal Laser Sintered CL50WS Material Using Desirability Function Approach

Advanced Materials Research

The aim of the this study to determine optimal process parameter for the hardness of direct metal... more The aim of the this study to determine optimal process parameter for the hardness of direct metal laser sintering (DMLS) process as the hardness plays a significant role in to DMLS made components and die or mould. In this manner, research is focused around determining the effect of process parameters like laser power, scanning speed, layer thickness and hatch spacing on the hardness of CL50WS (maraging18Ni300 steel) material. A response surface methodology based numerical model was proposed to predict hardness, and the adequacy of the created model was checked through the analysis of variance technique. Additionally, optimized conditions were set up to maximize the hardness through the desirability function theory.

Research paper thumbnail of Experimental Investigation and Optimization of Direct Metal Laser Sintered CL50WS Material Using Desirability Function Approach

Advanced Materials Research

The aim of the this study to determine optimal process parameter for the hardness of direct metal... more The aim of the this study to determine optimal process parameter for the hardness of direct metal laser sintering (DMLS) process as the hardness plays a significant role in to DMLS made components and die or mould. In this manner, research is focused around determining the effect of process parameters like laser power, scanning speed, layer thickness and hatch spacing on the hardness of CL50WS (maraging18Ni300 steel) material. A response surface methodology based numerical model was proposed to predict hardness, and the adequacy of the created model was checked through the analysis of variance technique. Additionally, optimized conditions were set up to maximize the hardness through the desirability function theory.

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