组合机床与自动化加工技术
組閤機床與自動化加工技術
조합궤상여자동화가공기술
MODULAR MACHINE TOOL & AUTOMATIC MANUFACTURING TECHNIQUE
2015年
6期
12-16
,共5页
王明海%姜庆杰%刘大响%徐颖翔
王明海%薑慶傑%劉大響%徐穎翔
왕명해%강경걸%류대향%서영상
C/SiC复合材料%超声扭转振动铣削%表面粗糙度%响应曲面法
C/SiC複閤材料%超聲扭轉振動鐉削%錶麵粗糙度%響應麯麵法
C/SiC복합재료%초성뉴전진동선삭%표면조조도%향응곡면법
C/SiC composites%ultrasonic torsional vibration milling%surface roughness%response surface methodology
为了改善C/SiC复合材料铣削表面质量,研究了超声扭转振动铣削对表面粗糙度的影响。通过对C/SiC复合材料进行超声扭转振动及传统铣槽加工试验,结合Box-Behnken响应曲面试验分析,得到了超声扭转振动铣削条件下各切削要素(主轴转速、进给速度、切削深度)对表面粗糙度的显著性,并建立了表面粗糙度预测模型。研究表明:与传统铣削相比超声扭转振动铣削可有效降低铣削表面粗糙度;各加工要素对表面粗糙度影响重要程度依次为切削深度,主轴转速,进给速度;在试验工艺范围内表面粗糙度预测模型准确可为切削参数优选和表面粗糙度控制提供依据。
為瞭改善C/SiC複閤材料鐉削錶麵質量,研究瞭超聲扭轉振動鐉削對錶麵粗糙度的影響。通過對C/SiC複閤材料進行超聲扭轉振動及傳統鐉槽加工試驗,結閤Box-Behnken響應麯麵試驗分析,得到瞭超聲扭轉振動鐉削條件下各切削要素(主軸轉速、進給速度、切削深度)對錶麵粗糙度的顯著性,併建立瞭錶麵粗糙度預測模型。研究錶明:與傳統鐉削相比超聲扭轉振動鐉削可有效降低鐉削錶麵粗糙度;各加工要素對錶麵粗糙度影響重要程度依次為切削深度,主軸轉速,進給速度;在試驗工藝範圍內錶麵粗糙度預測模型準確可為切削參數優選和錶麵粗糙度控製提供依據。
위료개선C/SiC복합재료선삭표면질량,연구료초성뉴전진동선삭대표면조조도적영향。통과대C/SiC복합재료진행초성뉴전진동급전통선조가공시험,결합Box-Behnken향응곡면시험분석,득도료초성뉴전진동선삭조건하각절삭요소(주축전속、진급속도、절삭심도)대표면조조도적현저성,병건립료표면조조도예측모형。연구표명:여전통선삭상비초성뉴전진동선삭가유효강저선삭표면조조도;각가공요소대표면조조도영향중요정도의차위절삭심도,주축전속,진급속도;재시험공예범위내표면조조도예측모형준학가위절삭삼수우선화표면조조도공제제공의거。
In order to improve surface quality of milled surfaces of carbon fiber reinforced silicon carbide ( C/SiC) composites,the influence ofultrasonic torsional vibration milling on surface roughnesswas investiga-ted. Based on the tests of ultrasonic torsional vibrationand traditional slotmilling, combined with Box-Be-hnken response surface test analysis,the significance of each factor of processing parameters ( spindle speed, feed rate, depth of cut) on surface roughness was studied,and the prediction model of surface roughness was established. The experimental results show that ultrasonic torsional vibration milling can effectively reduce the surface roughness compare with conventional milling;depth of cut is the most significant factor of affect-ing surface roughness in UTVM with spindle speed, feed rate being the second, the third;surface roughness prediction model can accurately provide the basis for the surface roughness and cutting parameters optimiza-tion control within the range of experiment process.