REST Journal on Emerging trends in Modelling and Manufacturing, 2020
Fused Depoition Modeling is a type of Additive Manufacturing technology, which has capability to ... more Fused Depoition Modeling is a type of Additive Manufacturing technology, which has capability to construct final product by mean of adding layer by layer pattern automatically from data generated by Computer Aided Design (CAD) model. This research work focused over the study of effect of process parameters such as infill percentage, Shell wall thickness and extruion temperature with specimen material used as ABS. This Research work includes optimization of the process parameter using statistical method Response Surface Methodology(RSM(and validating parameter's significance using ANOVA. To overcome some of the drawbacks such as time consumption of printing, machine speed, quality of surface, required properties namely strength, thermal and mechanical properties optimization of process parameter is importand. It is also equally important to find out correlation between process parameters and response outcomes required. Hence, it was proposed to carry experimental investigation of FDM process parameters on polymeric materials because polymeric materials are easy to print as well as economical with wide range of application. FDM process is simple process as compared to other processes so on that basis FDM is chosen. In order to carry work methodology, sample specimens prepared according to ASTM standard for tensile test. Results carried out according to performing test to investigate the relationship between parameters and concomitant effect on strength. Major reason for weak strength of FDM processed parts owes to distortion within the layer or between the layers while building the parts due to temperature gradient. The utility of RP parts suggests that it is dependent on various loading conditions and hence needs to be optimized to gain effective practical implications and optimistic improvisation according to requirements.
REST Journal on Emerging trends in Modelling and Manufacturing , 2018
Metal matrix composite is a new trend in material science, where recent studies are carried out a... more Metal matrix composite is a new trend in material science, where recent studies are carried out and still going on for various composite materials. Machining parameters for any material are an important consideration in quality output and process optimisation. Machining of composites with optimised machining parameters is very important to get better resulting quality and optimised use of resources. In this paper, machining input parameters considered speed of spindle, feed rate, weight of SiC and resulting machining parameter such as roughness value of machined workpiece, thrust force, burr height for metal matrix composite dataset is used and analysed using weighted sum method to find out optimised parameter with considering importance factor for output requirement. Individual performance and weighted normalised score (on the basis of importance factor considered for the result to achieve as per requirement) is given to the result dataset and found best optimised parameter data when equally equivalence is required for output result parameters. Multi-Criteria Decision-making weighted sum method is used to find out optimal parameters for optimising its resulting parameters from the dataset.
REST Journal on Emerging trends in Modelling and Manufacturing, 2020
Fused Depoition Modeling is a type of Additive Manufacturing technology, which has capability to ... more Fused Depoition Modeling is a type of Additive Manufacturing technology, which has capability to construct final product by mean of adding layer by layer pattern automatically from data generated by Computer Aided Design (CAD) model. This research work focused over the study of effect of process parameters such as infill percentage, Shell wall thickness and extruion temperature with specimen material used as ABS. This Research work includes optimization of the process parameter using statistical method Response Surface Methodology(RSM(and validating parameter's significance using ANOVA. To overcome some of the drawbacks such as time consumption of printing, machine speed, quality of surface, required properties namely strength, thermal and mechanical properties optimization of process parameter is importand. It is also equally important to find out correlation between process parameters and response outcomes required. Hence, it was proposed to carry experimental investigation of FDM process parameters on polymeric materials because polymeric materials are easy to print as well as economical with wide range of application. FDM process is simple process as compared to other processes so on that basis FDM is chosen. In order to carry work methodology, sample specimens prepared according to ASTM standard for tensile test. Results carried out according to performing test to investigate the relationship between parameters and concomitant effect on strength. Major reason for weak strength of FDM processed parts owes to distortion within the layer or between the layers while building the parts due to temperature gradient. The utility of RP parts suggests that it is dependent on various loading conditions and hence needs to be optimized to gain effective practical implications and optimistic improvisation according to requirements.
REST Journal on Emerging trends in Modelling and Manufacturing , 2018
Metal matrix composite is a new trend in material science, where recent studies are carried out a... more Metal matrix composite is a new trend in material science, where recent studies are carried out and still going on for various composite materials. Machining parameters for any material are an important consideration in quality output and process optimisation. Machining of composites with optimised machining parameters is very important to get better resulting quality and optimised use of resources. In this paper, machining input parameters considered speed of spindle, feed rate, weight of SiC and resulting machining parameter such as roughness value of machined workpiece, thrust force, burr height for metal matrix composite dataset is used and analysed using weighted sum method to find out optimised parameter with considering importance factor for output requirement. Individual performance and weighted normalised score (on the basis of importance factor considered for the result to achieve as per requirement) is given to the result dataset and found best optimised parameter data when equally equivalence is required for output result parameters. Multi-Criteria Decision-making weighted sum method is used to find out optimal parameters for optimising its resulting parameters from the dataset.
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Papers by Vinit Mandge