CAJ | 학술논문

对在不同切削条件下木材切削加工过程木工刀具磨损的多组试验数据，采用PLSR方法，根据变量重要性指标分析和因子载荷分析，从7个变量及其组合中筛选出了5个用于建模的自变量，以刀具磨损量作为因变量，建立了对所选自变量（切削速度 vc、切削路径lc、切削深度ae、刀具后角α以及刃磨角β等）的PLSR模型；采用建模数据覆盖的切削条件下的试验数据和建模数据未覆盖的切削条件下的试验数据，分别对模型进行了验证。结果表明，采用PLSR方法选择的自变量是合理的，所建立的木工刀具磨损的回归模型可以较满意地计算出不同切削条件下木工刀具的磨损量。
대재불동절삭조건하목재절삭가공과정목공도구마손적다조시험수거，채용PLSR방법，근거변량중요성지표분석화인자재하분석，종7개변량급기조합중사선출료5개용우건모적자변량，이도구마손량작위인변량，건립료대소선자변량（절삭속도 vc、절삭로경lc、절삭심도ae、도구후각α이급인마각β등）적PLSR모형；채용건모수거복개적절삭조건하적시험수거화건모수거미복개적절삭조건하적시험수거，분별대모형진행료험증。결과표명，채용PLSR방법선택적자변량시합리적，소건립적목공도구마손적회귀모형가이교만의지계산출불동절삭조건하목공도구적마손량。
We used the PLSR analysis for the sample data sets of cutting tool wear under different cutting conditions .We screened five independent variables for modeling including cutting speed , cutting route , cutting depth , clearance angle and wedge angle from seven original variables based upon the variable important projection and the factor loading .We built the model with six independent variables and the flank wear of cutting tool as the dependent variable by using PLSR approach . Two sample data sets , one under the cutting conditions covered in the modeling data and the other under new different cut -ting conditions , were used to verify the model , respectively .The variable screening is reasonable and the satisfied values of the flank wear of cutting tools can be obtained from the PLSR model .