1. SURAPONG BANGPHANâ€‹â€‹ - Department of Industrial Technology , Faculty of Science and Technology Chiang Mai Rajabhat University 202 Chang phuak Road, T.Chang phuak, A.Muang Chiang Mai, THAILAND 50300.
2. SUWATTANARWONG PHANPHETâ€‹ - Department of Industrial Technology Education, Faculty of Engineering, Rajamangala University of Technology Lanna, Chiang Mai, THAILAND, 50300.
This study presents the application of the response surface methodology and central composite design technique in generating the optimal innovation paddy husker for the brown rice mill, when using the four factors. The four factors; spindle of speed (SS), rubber of clearance (CL), rice temperature (TE) and rice of moisture(MO) respectively. Design of Experiment (DOE) by response surface methodology and central composite design was used as a tool in order to generate the suitable run order. All 62 run orders were generated by the full quadratic technique. ANOVA and Regression was used for analysis. The brown rice cracker tests were conducted on kow dauk mali 105 rice. After milling, the percentage of broken rice were calculated and analyzed using Regression Analysis and Analysis of Variance (ANOVA). The response optimization was SS = 1,500 rpm, CL= 1.6 millimeters, TE= 20.25 degree Celsius and MO = 11.65 percentage respectively. At a significant level α = 0.05, the values of Regression coefficient, R2 (adjust) were 99.30 %. The optimal values gave 10.00% broken rice.
Statistical, Response surface methodology, central composite design, regression model, optimal, paddy husker