Performance comparison and prediction of cutting energy of new cemented carbide micro-pit turning tool
-
摘要: 切削能絕大部分會轉化為切削熱,進而直接影響切削溫度,因此研究切削能的產生、傳遞與轉化對切削溫度的研究尤顯重要.本文以304不銹鋼專用新型硬質合金微坑車刀創新設計為例,通過對新型微坑車刀和原車刀切削過程的切削能比較研究,建立車刀切削過程切削能與前刀面溫度的關系模型,開展新型微坑車刀剪切能和摩擦能的預測研究和切削實驗驗證.研究結果表明,用實際生產推薦切削參數,干式切削情況下,新型硬質合金微坑車刀相比原車刀,輸入能量降低8.96%,剪切能降低10.50%,摩擦能降低5.32%;刀具前刀面的切削溫度與剪切能和摩擦能呈正相關關系;所建立切削能預測模型可為復雜切削條件下的切削能預測及前刀面切削溫度研究提供參照.Abstract: Cutting energy can be transformed into cutting heat, which directly affects the cutting temperature. Therefore, it is important to understand the generation, transfer, and transformation of cutting energy to cutting temperature. In this paper, an innovation design of a new cemented carbide micro-pit turning tool specially cutting 304 stainless steel was taken as an example. Through comparative studying the cutting performance of new micro-pit turning tool and original turning tool, the relationship model between cutting energy and cutting temperature of rake face was established. And the prediction of shear energy and friction energy of the new micro-pit turning tool and experimental verification were carried out. The results show the input energy to be reduced by 8.96%, the shear energy to be decreased by 10.50% and the friction energy to be reduced by 5.32% compared with the original turning tool under dry cutting conditions using the manufacturer's recommended cutting parameters. The cutting surface temperature can be reduced by a decrease in the cutting energy. The cutting energy prediction model can serve as a reference for predicting cutting energies and cutting face temperatures under complex cutting conditions.
-
Key words:
- cutting energy /
- shear energy /
- friction energy /
- prediction model /
- 304 stainless steel
-
參考文獻
[2] Ma J, Ge X, Chang S I, et al. Assessment of cutting energy consumption and energy efficiency in machining of 4140 steel. Int J Adv Manuf Technol, 2014, 74(9):1701 [3] Wu X, Li L, Zhao M, et al. Experimental investigation of specific cutting energy and surface quality based on negative effective rake angle in micro turning. Int J Adv Manuf Technol, 2016, 82(9):1941 [4] Balogun V A, Gu H, Mativenga P T. Improving the integrity of specific cutting energy coefficients for energy demand modelling. Proc Inst Mech Eng, Part B:J Eng Manufacture, 2015, 229(12):2109 [5] Balogun V A, Mativenga P T. Impact of un-deformed chip thickness on specific energy in mechanical machining processes. J Cleaner Prod, 2014, 69:260 [6] Wang B, Liu Z Q, Song Q H, et al. Proper selection of cutting parameters and cutting tool angle to lower the specific cutting energy during high speed machining of 7050-T7451 aluminum alloy. J Cleaner Prod, 2016, 129:292 [7] Akyildiz H K, Livatyali H. Effect of cutting energy on fatigue behavior of threaded specimens. Int J Adv Manuf Technol, 2014, 70(1):547 [8] Bhushan R K. Optimization of cutting parameters for minimizing power consumption and maximizing tool life during machining of Al alloy SiC particle. J Cleaner Prod, 2013, 39:242 [12] Camposeco-Negrete C, Nájera J D C, Miranda-Valenzuela J C. Optimization of cutting parameters to minimize energy consumption during turning of AISI 1018 steel at constant material removal rate using robust design. Int J Adv Manuf Technol, 2016, 83(5):1341 [13] Gu L Y, Kang G Z, Chen H, et al. On adiabatic shear fracture in high-speed machining of martensitic precipitation-hardening stainless steel. J Mater Proc Technol, 2016, 234:208 [14] Zhong Q Q, Tang R Z, Lü J X, et al. Evaluation on models of calculating energy consumption in metal cutting processes:a case of external turning process. Int J Adv Manuf Technol, 2016, 82(9):2087 -
點擊查看大圖
計量
- 文章訪問數: 703
- HTML全文瀏覽量: 292
- PDF下載量: 14
- 被引次數: 0
下載:
