Granted Patent B2

US 12,197,197 · App. 17/636,174 · Granted Jan 14, 2025

Inventors: Yukio Naiki (Tokyo, JP); Shiro Nagami (Tokyo, JP); Keigo Matsunaga (Tokyo, JP); Koji Mizutani (Tokyo, JP); Eiji Shamoto (Aichi, JP); Takehiro Hayasaka (Aichi, JP); Shota Yoshino (Aichi, JP)

Assignees: MITSUBISHI HEAVY INDUSTRIES, LTD.; MITSUBISHI HEAVY INDUSTRIES AERO ENGINES, LTD.; NATIONAL UNIVERSITY CORPORATION TOKAI NATIONAL HIGHER EDUCATION AND RESEARCH SYSTEM

G05B19/41875G05B2219/32194

Abstract

Claims (80)

1. A low toughness workpiece cutting apparatus comprising a control device that comprises a defect prediction device,

wherein the defect prediction device comprises:

a storage device configured to store tool data that represent physical characteristics and a shape of a tool, cutting data that represent a group of parameters of a cutting process to be performed to a workpiece by use of the tool and material data that represent physical characteristics and a shape of the workpiece;

a processor configured to perform, based on the tool data, the cutting data and the material data, an analysis of deformation of the workpiece due to a cutting force and an analysis of brittle fracture due to the deformation, and perform a prediction of an occurrence of a defect or a non-occurrence of a defect of the workpiece due to the cutting process; and

an interface configured to output a result of the prediction,

wherein the control device further comprises:

a processor configured to generate, based on the result of the prediction result output by the defect prediction device, a control signal for controlling a processing apparatus that performs a processing including the cutting process by use of the tool to the workpiece; and

an interface configured to output the control signal to the processing apparatus.

2. A low toughness workpiece cutting apparatus comprising a control device that comprises a defect prediction device,

wherein the defect prediction device comprises:

a storage device configured to store tool data that represent physical characteristics and a shape of a tool, cutting data that represent a group of parameters of a cutting process to be performed to a workpiece by use of the tool and material data that represent physical characteristics and a shape of the workpiece;

a processor configured to perform, based on the tool data, the cutting data and the material data, an analysis of deformation of the workpiece due to a cutting force and an analysis of brittle fracture due to the deformation, and perform a prediction of an occurrence of defect or a non-occurrence of defect of the workpiece due to the cutting process;

an interface configured to output a result of the prediction; and

the processor further execute a program to perform the function of:

a stress intensity factor calculating section configured to calculate, based on a plurality of combinations of parameters included in the tool data, the cutting data and the material data, a stress intensity factor;

a comparison section configured to compare, based on the plurality of combinations, a fracture toughness value related to a material of the workpiece and the stress intensity factor;

a cutting efficiency calculating section configured to calculate, based on the plurality of combinations, a process efficiency of the cutting process; and

a cutting condition deciding section configured to select, from the plurality of combinations, a combination with which the process efficiency becomes maximal in a predetermined range in which the stress intensity factor does not exceed the fracture toughness value to decide the selected combination as a cutting condition.

3. A low toughness workpiece cutting apparatus comprising a control device that comprises a defect prediction device,

wherein the defect prediction device comprises:

a storage device configured to store tool data that represent physical characteristics and a shape of a tool, cutting data that represent a group of parameters of a cutting process to be performed to a workpiece by use of the tool and material data that represent physical characteristics and a shape of the workpiece;

a processor configured to perform, based on the tool data, the cutting data and the material data, an analysis of deformation of the workpiece due to a cutting force and an analysis of brittle fracture due to the deformation, and perform a prediction of an occurrence of defect or a non-occurrence of defect of the workpiece due to the cutting process; and

an interface configured to output a result of the prediction, and

wherein the processor further executes a program to perform the function of:

a first energy amount prediction processing section configured to predict, based on the tool data, the cutting data and the material data, a cutting force that the tool applies to the workpiece by the cutting process and predict a first energy amount that is an amount of elastic strain energy of the workpiece that is released by a crack growth of the workpiece under the cutting force;

a second energy amount prediction processing section configured to predict, based on at least the material data, a second energy amount that is a surface energy of a new surface of the workpiece that is generated by a crack growth of the workpiece; and

a defect prediction processing section configured to compare the first energy amount and the second energy amount to predict the occurrence of defect or the non-occurrence of defect.

4. The low toughness workpiece cutting apparatus according to claim 3 ,

wherein the processor is configured to modify, when having predicted the occurrence of defect, at least one of the tool data and the cutting data, and to compare again the first energy amount and the second energy amount to predict again the occurrence of defect or the non-occurrence of defect.

5. The low toughness workpiece cutting apparatus according to claim 4 ,

wherein the processor further executes the program to perform the function of:

a modification processing section configured to modify at least one of the tool data and the cutting data so that no defect occurs.

6. The low toughness workpiece cutting apparatus according to claim 1 , wherein

the processing apparatus is configured to perform the processing based on the control signal.

7. A low toughness workpiece manufacturing method executed by a computer, the method including:

preparing tool data that represent physical characteristics and a shape of a tool, cutting data that represent a group of parameters of a cutting process to be performed to a workpiece by use of the tool and material data that represent physical characteristics and a shape of the workpiece;

performing, based on the tool data, the cutting data and the material data, an analysis of deformation of the workpiece due to a cutting force and an analysis of brittle fracture due to the deformation, performing a prediction of an occurrence of defect or a non-occurrence of defect of the workpiece due to the cutting process;

outputting a result of the prediction;

generating, based on the outputting of the result of the prediction of the occurrence of the defect or the non-occurrence of the defect, a control signal for controlling a processing apparatus that performs a processing including the cutting process by use of the tool to the workpiece; and

outputting the control signal to the processing apparatus.

8. A low toughness workpiece manufacturing method executed by a computer, the method including:

preparing tool data that represent physical characteristics and a shape of a tool, cutting data that represent a group of parameters of a cutting process to be performed to a workpiece by use of the tool and material data that represent physical characteristics and a shape of the workpiece;

performing, based on the tool data, the cutting data and the material data, an analysis of deformation of the workpiece due to a cutting force and an analysis of brittle fracture due to the deformation, performing a prediction of an occurrence of defect or a non-occurrence of defect of the workpiece due to the cutting process;

outputting a result of the prediction;

calculating, based on a plurality of combinations of parameters included in the tool data, the cutting data and the material data, a stress intensity factor;

comparing, based on the plurality of combinations, a fracture toughness value related to a material of the workpiece and the stress intensity factor;

calculating, based on the plurality of combinations, a process efficiency of the cutting process; and

selecting, from the plurality of combinations, a combination with which the process efficiency becomes maximal in a predetermined range in which the stress intensity factor does not exceed the fracture toughness value and deciding the selected combination as a cutting condition.

9. A low toughness workpiece manufacturing method executed by a computer, the method including:

preparing tool data that represent physical characteristics and a shape of a tool, cutting data that represent a group of parameters of a cutting process to be performed to a workpiece by use of the tool and material data that represent physical characteristics and a shape of the workpiece;

performing, based on the tool data, the cutting data and the material data, an analysis of deformation of the workpiece due to a cutting force and an analysis of brittle fracture due to the deformation, performing a prediction of an occurrence of defect or a non-occurrence of defect of the workpiece due to the cutting process;

outputting a result of the prediction;

predicting, based on the tool data, the cutting data and the material data, a cutting force that the tool applies to the workpiece by the cutting process and predicting a first energy amount that is an amount of elastic strain energy of the workpiece that is released by a crack growth of the workpiece under the cutting force;

predicting, based on the cutting data and the material data, a second energy amount that is a surface energy of a new surface of the workpiece that is generated by a crack growth of the workpiece; and

comparing the first energy amount and the second energy amount to predict the occurrence of defect or the non-occurrence of defect.

10. The low toughness workpiece manufacturing method according to claim 7 , further comprising:

performing the processing based on the control signal.

11. A non-transitory computer-readable recording medium storing a low toughness workpiece manufacturing program, which when executed by a computer perform steps comprising:

preparing tool data that represent physical characteristics and a shape of a tool, cutting data that represent a group of parameters of a cutting process to be performed to a workpiece by use of the tool and material data that represent physical characteristics and a shape of the workpiece;

performing, based on the tool data, the cutting data and the material data, an analysis of deformation of the workpiece due to a cutting force and an analysis of brittle fracture due to the deformation, performing a prediction of an occurrence of defect or a non-occurrence of defect of the workpiece due to the cutting process;

outputting a result of the prediction;

generating, based on the outputting of the result of the prediction of the occurrence of the defect or the non-occurrence of the defect, a control signal for controlling a processing apparatus that performs a processing including the cutting process by use of the tool to the workpiece; and

outputting the control signal to the processing apparatus.

12. A non-transitory computer-readable recording medium storing a low toughness workpiece manufacturing program, which when executed by a computer perform steps comprising:

preparing tool data that represent physical characteristics and a shape of a tool, cutting data that represent a group of parameters of a cutting process to be performed to a workpiece by use of the tool and material data that represent physical characteristics and a shape of the workpiece;

performing, based on the tool data, the cutting data and the material data, an analysis of deformation of the workpiece due to a cutting force and an analysis of brittle fracture due to the deformation, performing a prediction of an occurrence of defect or a non-occurrence of defect of the workpiece due to the cutting process;

outputting a result of the prediction;

calculating, based on a plurality of combinations of parameters included in the tool data, the cutting data and the material data, a stress intensity factor;

comparing, based on the plurality of combinations, a fracture toughness value related to a material of the workpiece and the stress intensity factor;

calculating, based on the plurality of combinations, a process efficiency of the cutting process; and

selecting, from the plurality of combinations, a combination with which the process efficiency becomes maximal in a predetermined range in which the stress intensity factor does not exceed the fracture toughness value to decide the selected combination as a cutting condition.

13. A non-transitory computer-readable recording medium storing a low toughness workpiece manufacturing program, which when executed by a computer perform steps comprising:

preparing tool data that represent physical characteristics and a shape of a tool, cutting data that represent a group of parameters of a cutting process to be performed to a workpiece by use of the tool and material data that represent physical characteristics and a shape of the workpiece;

performing, based on the tool data, the cutting data and the material data, an analysis of deformation of the workpiece due to a cutting force and an analysis of brittle fracture due to the deformation, performing a prediction of an occurrence of defect or a non-occurrence of defect of the workpiece due to the cutting process;

outputting a result of the prediction;

predicting, based on the tool data, the cutting data and the material data, a cutting force that the tool applies to the workpiece by the cutting process and predicting a first energy amount that is an amount of elastic strain energy of the workpiece that is released by a crack growth of the workpiece under the cutting force;

predicting, based on the cutting data and the material data, a second energy amount that is a surface energy of a new surface of the workpiece that is generated by a crack growth of the workpiece; and

comparing the first energy amount and the second energy amount to predict the occurrence of defect or the non-occurrence of defect.

14. The non-transitory computer-readable recording medium according to claim 11 , storing the low toughness workpiece manufacturing program, further including:

performing the processing based on the control signal.

Assignments (1)

Priority Claims (1)

Continuity (1)

References Cited (28)