Hassan, M. (2019). Evaluation of Cutting Blades Impact on Productivity and Performance of Sugar Cane Harvesting Machine. Journal of Soil Sciences and Agricultural Engineering, 10(9), 527-532. doi: 10.21608/jssae.2019.62567
M. A. Hassan. "Evaluation of Cutting Blades Impact on Productivity and Performance of Sugar Cane Harvesting Machine". Journal of Soil Sciences and Agricultural Engineering, 10, 9, 2019, 527-532. doi: 10.21608/jssae.2019.62567
Hassan, M. (2019). 'Evaluation of Cutting Blades Impact on Productivity and Performance of Sugar Cane Harvesting Machine', Journal of Soil Sciences and Agricultural Engineering, 10(9), pp. 527-532. doi: 10.21608/jssae.2019.62567
Hassan, M. Evaluation of Cutting Blades Impact on Productivity and Performance of Sugar Cane Harvesting Machine. Journal of Soil Sciences and Agricultural Engineering, 2019; 10(9): 527-532. doi: 10.21608/jssae.2019.62567
Evaluation of Cutting Blades Impact on Productivity and Performance of Sugar Cane Harvesting Machine
Field experiments were carried out to determine effects of cutting blade types on sugar cane mechanical harvest. The evaluation of used sugar cane harvester is carried out through four levels of forward harvesting speed of 2.4, 3.2, 4.1 and 5.2 km/h, three cutting blade types namely: smooth blades, serrated blades and fast exchange blade, and four levels of blade angles of 0, 10, 17.5 and 22.5˚ on the area of sugarcane cutting, productivity, percent of sugarcane cut stalks, percent of damage cutting blades, total losses, total cost and criterion function cost. The results concluded the following: maximum of the area of sugarcane cutting was 4522.8 m²/h and productivity of 49.6 ton/h and percent of sugar cane cut stalks of 96.1% were recorded at using serrated blades type with 17.5° tilt angle. Also, the minimum of percent of damage cutting blades was 9.7%, total losses of 1.9%, losses cost of 18.9 L.E/h and criterion function cost of 192.4 L.E/h. Finally, the performance characteristics of used machine were influenced by the investigated variables.