seen from United States
seen from Malaysia
seen from Malaysia
seen from United States
seen from China
seen from Russia
seen from Türkiye
seen from United States
seen from China
seen from Armenia
seen from China
seen from Israel
seen from China
seen from China
seen from China
seen from Thailand
seen from Thailand
seen from China
seen from Thailand
seen from United States
Thanksgiving dinner succeeds or fails primarily on appropriate moisture content. This year's scorecard.
Turkey✅
Ham ✅
Salmon❌(dry)
Stuffing✅
Potatoes❌(too loose)
Gravy❌ (too thin)
Roast Brussels Sprouts✅
Harvard Beets✅
Pies (scored as a group)✅
Overall Score .66/1 - PASS
This study evaluated efficient milling of maize grains using a TW-cyclone series hammer mill. The assessment was conducted using two maize varieties—Quality Protein Maize (QPM) and SAMMAZ 11—at two moisture levels (13.5% and 16.5%) and two rotor speeds (950 rpm and 1050 rpm). A factorial experimental design was employed, and statistical analysis was conducted using ANOVA and Duncan’s Multiple Range Test. Four output factors were analysed: throughput capacity, milling efficiency, fineness modulus, and estimated energy consumption. The results indicated that moisture content significantly influenced milling efficiency and fineness modulus, while rotor speed had a considerable effect on throughput capacity, fineness modulus, and energy consumption. The maximum throughput capacity of 152.9 kg/hr was achieved with QPM at a moisture content of 16.5% and a rotor speed of 1050 rpm. The SAMMAZ 11 variety produced the finest flour particles, with a fineness modulus of 2.76, under similar conditions. The highest milling efficiency, recorded at 80.79%, was observed with QPM at 13.5% moisture and a rotor speed of 1050 rpm. Conversely, the lowest projected energy consumption of 0.0564 kWh occurred with QPM at 13.5% moisture and a rotor speed of 950 rpm. Percentage contribution analysis revealed that rotor speed was the most influential factor affecting throughput capacity (97.84%), fineness modulus (75.47%), and estimated energy consumption (74.4%). In contrast, moisture content emerged as the most significant factor influencing milling efficiency (62.55%).
This study evaluated efficient milling of maize grains using a TW-cyclone series hammer mill. The assessment was conducted using two maize varieties—Quality Protein Maize (QPM) and SAMMAZ 11—at two moisture levels (13.5% and 16.5%) and two rotor speeds (950 rpm and 1050 rpm). A factorial experimental design was employed, and statistical analysis was conducted using ANOVA and Duncan’s Multiple Range Test. Four output factors were analysed: throughput capacity, milling efficiency, fineness modulus, and estimated energy consumption. The results indicated that moisture content significantly influenced milling efficiency and fineness modulus, while rotor speed had a considerable effect on throughput capacity, fineness modulus, and energy consumption. The maximum throughput capacity of 152.9 kg/hr was achieved with QPM at a moisture content of 16.5% and a rotor speed of 1050 rpm. The SAMMAZ 11 variety produced the finest flour particles, with a fineness modulus of 2.76, under similar conditions. The highest milling efficiency, recorded at 80.79%, was observed with QPM at 13.5% moisture and a rotor speed of 1050 rpm. Conversely, the lowest projected energy consumption of 0.0564 kWh occurred with QPM at 13.5% moisture and a rotor speed of 950 rpm. Percentage contribution analysis revealed that rotor speed was the most influential factor affecting throughput capacity (97.84%), fineness modulus (75.47%), and estimated energy consumption (74.4%). In contrast, moisture content emerged as the most significant factor influencing milling efficiency (62.55%).
In the light of finding solutions to the adversity brought by non-biodegradable wastes, bioplastic a polymer derived from renewable biomass resources such as starch, cellulose and lignin was discovered. Starch from rambutan (Nephelium lappaceum) was used as a raw material to determine its potential in bioplastic production. Rambutan seed starch plasticized with sorbitol was developed and characterized. The starch, sorbitol, vinegar and water were prepared in the ratio of 30g: 5ml: 5ml: 60ml. The characteristics of the starch in terms of ash content, moisture content and starch content was determined. From the analysis of rambutan seed starch, the ash content of 1.33%, moisture content of 79.6% and starch content of 22.83% were obtained. Soil burial test was conducted in determining the biodegradability of the film produced. The mass of bioplastic was reduced by more than 50% in the first 6 days and complete degradation occurred on the 15th day. Nephelium lappaceum seed is of good quality based on the low ash content but has high moisture content and even with the presence of starch the bioplastic film that was formed needs further investigation.
This study evaluated efficient milling of maize grains using a TW-cyclone series hammer mill. The assessment was conducted using two maize varieties—Quality Protein Maize (QPM) and SAMMAZ 11—at two moisture levels (13.5% and 16.5%) and two rotor speeds (950 rpm and 1050 rpm). A factorial experimental design was employed, and statistical analysis was conducted using ANOVA and Duncan’s Multiple Range Test. Four output factors were analysed: throughput capacity, milling efficiency, fineness modulus, and estimated energy consumption. The results indicated that moisture content significantly influenced milling efficiency and fineness modulus, while rotor speed had a considerable effect on throughput capacity, fineness modulus, and energy consumption. The maximum throughput capacity of 152.9 kg/hr was achieved with QPM at a moisture content of 16.5% and a rotor speed of 1050 rpm. The SAMMAZ 11 variety produced the finest flour particles, with a fineness modulus of 2.76, under similar conditions. The highest milling efficiency, recorded at 80.79%, was observed with QPM at 13.5% moisture and a rotor speed of 1050 rpm. Conversely, the lowest projected energy consumption of 0.0564 kWh occurred with QPM at 13.5% moisture and a rotor speed of 950 rpm. Percentage contribution analysis revealed that rotor speed was the most influential factor affecting throughput capacity (97.84%), fineness modulus (75.47%), and estimated energy consumption (74.4%). In contrast, moisture content emerged as the most significant factor influencing milling efficiency (62.55%).
