FORMULATION OF GENERALIZED FIELD DATA BASED MODEL FOR THE ELECTRICAL ENERGY EXPENDITURE DURING WHEAT GRINDING OPERATION

Authors

  • Abhijeet Agashe Dept. of Management Technology, Shri Ramdeobaba College of Engineering and Management, Nagpur(M.S.) India
  • Deshpande V S Department of Industrial Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur(M.S.) India
  • Modak J P Dean (R & D), Priyadarshani College of Engineering, Nagpur(M.S.) India 440013

Keywords:

Wheat grinding, Field data based model, Sensitivity, Optimization

Abstract

This paper highlights the detailed methodology of mathematical model formulation for the electrical energy expenditure during the wheat grinding operation. This paper details the formulation of field data based model to analyze the impact of various machining field parameters on the electrical energy expenditure during the wheat grinding operation. In all, 34 independent variables are studied to analyze their effect on the dependent variable electrical energy expenditure. The independent variables are then grouped to form 7 dimensionless pi terms using the Buckinham’s Pi Theorem. Further, a model is developed using matrix analysis and the effect of the independent pi terms on the dependent pi term is established. Model derived by combining positive and negative pi terms, further analyzes the effect of the independent variables on the electrical energy expenditure. The models are validated to gauge the accuracy. Formulation of mathematical model and sensitivity analysis reveals that the environmental conditions in the workshop, majorly, ambient temperature, highly influences the electrical energy expenditure. Other significant parameter that has a direct relationship with electrical energy consumption is parameters related to the power generation in the machine. As the motor speed increases, the electrical energy expenditure shall increase. An increase in the values of other parameters such as distance between the pulleys, pulley rpm and diameter ratio also result increase in electrical energy expenditure.

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References

Bapat, R. and Modak, J.P., (1994), “Formulation of Generalized Experimental Model for A Manually Driven Fly-wheel Motor and its Optimization, Applied Ergonomics UK, 25(2), pp 119- 122.

Phate M.R., Tatwawadi, V.H., Modak, J.P., (2012), “Formulation Of A Generalized Field Data Based Model For The Surface Roughness Of Aluminum 6063 In Dry Turning Operation”, New York Science Journal 5(7)

Jianxiang Z., Xiang, G., Mingfeng, Z., (2007), “Statistical Distribution Model of Field Reliability Based on Phased Weibull Distribution”, Asia Pacific Automotive Engineering Conference.

H. Schenck Jr.: Theories of Engineering a experimentation, McGraw Hill Book Co, New York.

Tatwawadi V.H., Modak, J.P., Chibule, S.G., (2010), “Mathematical Modeling and simulation of working of an enterprise manufacturing electric motor”, International Journal of Industrial Engineering, 17(4),2010, pp 35-41

Adler Y P, Markova E V, Granovsky Y V (1975) the design of experiments to find optimal Conditions (Moscow: Mir Publishers)

Agapiou J S, (1992), “The optimization of machining operations based on a combined criterion, Part 1 The use of combined objectives in single-pass operations, Part 2: Multi-pass operations”, J. Eng Ind., Trans. ASME 114, pp. 500–51

Barker T B, (1990), “Engineering quality by design” (New York: Marcel Dekker)

Brewer R C, (1966), “Parameter Selection Problem in Machining. Ann. CIRP”

Brewer R C, Rueda R, (1963), “A simplified approach to the optimum selection of machining parameters”, Eng Dig. 24(9) pp. 133–150

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Published

2014-09-01

How to Cite

[1]
“FORMULATION OF GENERALIZED FIELD DATA BASED MODEL FOR THE ELECTRICAL ENERGY EXPENDITURE DURING WHEAT GRINDING OPERATION”, JME, vol. 9, no. 3, pp. 149–156, Sep. 2014, Accessed: Nov. 15, 2024. [Online]. Available: https://smenec.org/index.php/1/article/view/268

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