SPECIFIC CUTTING RESISTANCE ESTIMATION SYSTEM UTILIZING KNOWLEDGE MODEL

• Main Authors: IMOTO YOSHINORI, AZUMA TAKAYUKI, HATAKAWA HIROO, KUROYANAGI SHOGO, KOJIMA MASARU
• Format: Patent
• Language: English; Japanese
• Published: 09.08.2023
• Subjects: CALCULATING; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOTDIRECTED TO A PARTICULAR RESULT; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; CONTROL OR REGULATING SYSTEMS IN GENERAL; CONTROLLING; COUNTING; DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g.ARRANGEMENTS FOR COPYING OR CONTROLLING; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MACHINE TOOLS; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OFPARTICULAR DETAILS OR COMPONENTS; METAL-WORKING NOT OTHERWISE PROVIDED FOR; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS; PERFORMING OPERATIONS; PHYSICS; REGULATING; TRANSPORTING

To provide a specific cutting resistance estimation system utilizing a knowledge model that is able to estimate a specific cutting resistance highly accurately by constructing and utilizing the knowledge model related to the specific cutting resistance.SOLUTION: When at least machining conditions for cutting, specifications of a tool T, and specifications of a workpiece W are defined as parent factors A, B, and C, a specific cutting resistance is a child factor D, and factor values of the parent factors A, B, C are conditioned, a knowledge model M comprises a conditional probability table M1 in which probabilities P11-P18, P21-P28, P31-P38 corresponding to a factor value of the child factor D are defined. Specific cut resistance estimation systems 1, 100 include: a knowledge model storage unit 22 that stores a knowledge model M; and a specific cut resistance output unit 23 that, when the factor values of the parent factors A, B, C are acquired, performs forward probability inference by means of the conditional probability table M1, thereby outputting an estimated value of the specific cut resistance as the child factor D.SELECTED DRAWING: Figure 4 【課題】比切削抵抗に関する知識モデルを構築して活用することにより、比切削抵抗を高精度に推定することができる知識モデルを活用した比切削抵抗推定システムを提供する。【解決手段】知識モデルＭは、少なくとも切削加工の加工条件、工具Ｔの諸元および工作物Ｗの諸元を親因子Ａ，Ｂ，Ｃとし、比切削抵抗を子因子Ｄとし、親因子Ａ，Ｂ，Ｃの因子値を条件とした場合に子因子Ｄの因子値に該当する確率Ｐ１１～Ｐ１８，Ｐ２１～Ｐ２８，Ｐ３１～Ｐ３８が定義された条件付確率表Ｍ１を含んで構成されている。比切削抵抗推定システム１，１００は、知識モデルＭを格納する知識モデル格納部２２と、親因子Ａ，Ｂ，Ｃの因子値を取得した場合に、条件付確率表Ｍ１を用いて順方向の確率推論を行うことにより、子因子Ｄとしての比切削抵抗の推定値を出力する比切削抵抗出力部２３を備える。【選択図】図４