ABSTRACT
This study involves multiobjective modeling, optimization
and investment analysis of an integrated milling-sieving-dewatering machine for
extracting slurry food starch from soaked grains. This is to enable its optimal
operation and mass production of quality slurry food diets at low cost. The
effects of the operational parameters of this machine on its
multipleperformance indicators were empirically evaluated, modeled and
optimized using response surface based desirability optimization methodology
while cost-benefit analysis constitutes the investment evaluation techniques
applied.Performance analysis results revealed 30-70L/h, 10-40rpm, 0.45-0.9rpm
and 55-90kPa as functional limits within which water feed rate, sieving shaft
speed, dewatering drum speed and pump pressure influence this machine’s
performance. In addition, its response model developed in this study for
exhibited with over 98% prediction accuracies. The response models revealed
that main and quadratic effects as well as some interactions of allthe factors
of this machine affects its responses except the sieving speed which does not
affect the moisture content of the extracted cake food starch. Moreover
multiobjective optimization of the models also revealed optimal settings of
this machine’s water feed rate, sieving shaft speed, dewatering drum speed and
pump pressure as 70L/h, 10rpm, 0.59rpm and 90kPa respectively. The machine
performs with throughput, extraction efficiency, cake moisture content and
specific energy consumption respectively of 87Kg/h, 98.75%, 25.35% and 183kJ/Kg
respectively at this optimal factor settings. Thereby improving throughput,
extraction efficiency, cake moisture content and specific energy consumption of
this machine by 23.51%, 0.27%, 19.64% and 19.13% respectively. The costbenefit
analysis of this machine confirmed its positive capital recovery potentials
with apayback period, benefit-cost ratio and annual rate of return of 1.86
years, 1.75 and 31.41% respectively at these optimal parameter settings. The
payback of 1.86years is far less than 10 years useful life of the machine
whileits 31.41% accounting rate of return outweighed Nigerian banks maximum
fixed deposits return of 17% and prime lending rate of 29%. Thus, general
adoption of the slurry food milling-sieving-dewatering machine is recommended
for advancement of grain slurry food processing sector.
EGWUAGU, M (2022). Multiobjective Analysis Of Grain Slurry Food Processing Machine Using Desirability Optimization Methodology. Repository.mouau.edu.ng: Retrieved Nov 22, 2024, from https://repository.mouau.edu.ng/work/view/multiobjective-analysis-of-grain-slurry-food-processing-machine-using-desirability-optimization-methodology-7-2
MARCEL, EGWUAGU. "Multiobjective Analysis Of Grain Slurry Food Processing Machine Using Desirability Optimization Methodology" Repository.mouau.edu.ng. Repository.mouau.edu.ng, 18 Mar. 2022, https://repository.mouau.edu.ng/work/view/multiobjective-analysis-of-grain-slurry-food-processing-machine-using-desirability-optimization-methodology-7-2. Accessed 22 Nov. 2024.
MARCEL, EGWUAGU. "Multiobjective Analysis Of Grain Slurry Food Processing Machine Using Desirability Optimization Methodology". Repository.mouau.edu.ng, Repository.mouau.edu.ng, 18 Mar. 2022. Web. 22 Nov. 2024. < https://repository.mouau.edu.ng/work/view/multiobjective-analysis-of-grain-slurry-food-processing-machine-using-desirability-optimization-methodology-7-2 >.
MARCEL, EGWUAGU. "Multiobjective Analysis Of Grain Slurry Food Processing Machine Using Desirability Optimization Methodology" Repository.mouau.edu.ng (2022). Accessed 22 Nov. 2024. https://repository.mouau.edu.ng/work/view/multiobjective-analysis-of-grain-slurry-food-processing-machine-using-desirability-optimization-methodology-7-2