Author

Mukul Parkhe

Advisor

Jaradat, Ra'ed

Committee Member

Ma, Junfeng

Committee Member

Millar, Richard C.

Committee Member

Mazzuchi, Thomas

Committee Member

Bian, Linkan

Date of Degree

8-1-2019

Document Type

Graduate Thesis - Open Access

Major

Industrial and Systems Engineering

Degree Name

Master of Science

College

James Worth Bagley College of Engineering

Department

Department of Industrial and Systems Engineering

Abstract

Increasing population equals increase in agricultural product consumption for which continuous food production is not a viable option. Solar drying, on the other hand is a promising method to preserve agricultural products for longer durations. This thesis focuses on calculating the predictability of the independent factors and a comprehensive risk assessment to improve the performance of Solar Hybrid Kiln. Biochar samples with different moisture content were selected for 3 tests. Principal component analysis and multiple linear regression analysis were conducted on the gathered data using Minitab 18R platform. Risk response plans associated with the kiln were provided through failure mode effects analysis. Results exhibited 3 significant principal components and reliable prediction model limits were obtained for both training and testing datasets. A total of 41 risks were identified and risk response plans were proposed for them. These results can be further used to increase the efficiency of biochar drying processes.

URI

https://hdl.handle.net/11668/14603

Comments

Solar Kiln||Hybrid||Prediction||Risk||Analysis

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