关键词: 薄煤层, 刨削工艺参数, 比能耗, 自适应自然选择粒子群优化, 刨煤机

Abstract: Correct selection of plowing parameters is an effective method to reduce energy consumption for thin coal seam mining process,and it is the key to achieve green and sustainable coal mining.For this reason,the plowing process parameters optimization of plough was researched.An energy consumption model of plough was proposed by considering the plowing processes for plow body force of coal cutting,plough bit temperature rising of coal cutting,plough unit moving along with coal seam mining face,plowed coal particles moving and transport and the auxiliary systems consumption.The process parameters optimization model with minimum specific energy consumption objective of thin coal seam plowing was established,and the adaptive natural selection particle swarm optimization method was applied to solve the optimal solution.A thin coal seam mining experiment case was performed to verify the effectiveness of the specific energy consumption optimization model,and the influence rules of three optimize variables which were cutting speed,cutting depth,bits interval on energy consumption were compared and analyzed.The results showed that the adaptive natural selection particle swarm optimization algorithm had good convergence speed and solving accuracy.The proposed optimization model not only could provide some theoretical basis for plowing process parameters design,but also reduce energy consumption for the thin coal seam mining process effectively,which provided a good guiding significance for engineering application.

Key words: thin coal seam, plowing process parameters, specific energy consumption, adaptive natural selection particle swarm optimization, plough