(1. 河南科技大學(xué) 機(jī)電工程學(xué)院，洛陽(yáng) 471003；
2. 河南省機(jī)械設(shè)計(jì)及傳動(dòng)系統(tǒng)重點(diǎn)實(shí)驗(yàn)室(河南科技大學(xué))，洛陽(yáng) 471003；
3. 洛陽(yáng)礦山機(jī)械工程設(shè)計(jì)研究院有限責(zé)任公司，洛陽(yáng) 471003；
4. 礦山重型裝備國(guó)家重點(diǎn)實(shí)驗(yàn)室，中信重工機(jī)械股份有限公司，洛陽(yáng) 471003；
5. School of Mechanical and Mining Engineering, University of Queensland, Brisbane 4702, Australia)
摘 要: 應(yīng)用離散元方法(Discrete element method，DEM)仿真礦石破碎時(shí)，通常采用顆粒黏結(jié)模型對(duì)礦石進(jìn)行建模，顆粒黏結(jié)模型中的基礎(chǔ)顆粒粒徑對(duì)仿真結(jié)果影響顯著。為了研究基礎(chǔ)顆粒粒徑變化對(duì)模型精度的影響，本文設(shè)計(jì)了9組基礎(chǔ)顆粒粒徑組合，構(gòu)建了礦石的顆粒黏結(jié)模型，進(jìn)行了金礦石破碎的離散元仿真，得到了不同粒徑組合下的破碎粒度分布，并將仿真結(jié)果與試驗(yàn)得到的破碎粒度分布進(jìn)行了對(duì)比分析。結(jié)果表明：基礎(chǔ)顆粒粒徑組合對(duì)模型精度存在影響，采用適當(dāng)?shù)幕A(chǔ)顆粒粒徑組合構(gòu)造顆粒黏結(jié)模型能夠提高模型精度。當(dāng)基礎(chǔ)顆粒粒徑之間的差值相當(dāng)時(shí)，模型精度較高，仿真得到的破碎粒度分布和落重試驗(yàn)結(jié)果的一致性良好。對(duì)相同粒度的鐵礦石與銅礦石進(jìn)行了仿真，驗(yàn)證了基礎(chǔ)顆粒粒徑選取方法的有效性。
關(guān)鍵字: 顆粒黏結(jié)模型；礦石破碎；離散元方法；破碎仿真；落重試驗(yàn)
（1. School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang 471003, China;
2. Henan Key Laboratory for Machinery Design and Transmission System, Henan University of Science and Technology, Luoyang 471003, China;
3. Luoyang Mining Machinery Engineering Design Institute Co., Ltd., Luoyang 471003, China;
4. State Key Laboratory of Mining Heavy Equipment, CITIC Heavy Industries Co., Ltd., Luoyang 471003, China;
5. School of Mechanical and Mining Engineering, University of Queensland, Brisbane 4702, Australia）
Abstract:By using the discrete element method (DEM) for ore crushing simulation, the bonded-particle model is usually selected. The basic particle diameter in the bonded-particle model has a significant influence on the simulation results. In order to study the influence of the change of basic particle size on the accuracy of the model, nine groups of basic particle diameter combinations were designed to construct the bonded-particle model in this paper. Based on this model, the simulation on gold ore crushing processing was carried out using DEM, and the distribution of crushing sieving size grade under different particle diameter combinations was obtained. The simulation results were compared and analyzed with the experiment results. The results show that the combination of basic particle size has an impact on the accuracy of the model. Using a proper combination of basic particle size to construct a bonded-particle model could improve the accuracy of the model. When the difference between the basic particle diameters is uniform, the model accuracy is high, and the simulation results are in good agreement with the drop-weight test results. The simulations of iron ore and copper ore with the same particle size verify the effectiveness of the basic particle selection method.
Key words: bonded-particle model; ore crushing; discrete element method (DEM); crushing simulation; drop-weight test
