Yogi Hendrawan | Politeknik Manufaktur Negeri Bandung (Politeknik Mekanik Swiss-ITB) (original) (raw)

Papers by Yogi Hendrawan

Research paper thumbnail of Hole feature recognition from 3D solid model for CAIP application

AIP Conference Proceedings

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Research paper thumbnail of Automatic Evaluation Algorithm for Hole Cylindrical Feature in CNC Machine Application

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)

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Research paper thumbnail of Application of Iterative Learning Contouring Control to a Machine Tool Feed Drive System with Linear Motors

2019 IEEE/SICE International Symposium on System Integration (SII)

This paper presents a design of iterative learning contouring controller (ILCC) by considering ac... more This paper presents a design of iterative learning contouring controller (ILCC) by considering actual contour error compensation (ACEC) to enhance the contouring performance of CNC machine tool feed drive systems. The proposed control iteratively modifies NC programs for each drive axis to reduce the contour error. Hence, the proposed controller can be directly applied to commercial CNC machines currently in use without any modification of their original controllers. The effectiveness of the proposed method has been experimentally verified through linear motor CNC machine tools with a non-smooth rhombus trajectory. Experimental results have shown that the maximum and mean contour error was reduced by 90.56% and 79. 34%, respectively, as compared to the originally equipped controller.

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Research paper thumbnail of Iterative Learning Reference Trajectory Modification for Contouring Performance Enhancement of Industrial Machine Tool Feed Drive Systems

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Research paper thumbnail of Embedded iterative learning contouring controller design for biaxial feed drive systems

2016 International Electronics Symposium (IES), 2016

In machine tool control, not only tracking errors in each drive axis but also contour errors, whi... more In machine tool control, not only tracking errors in each drive axis but also contour errors, which is directly related to the machined shape of workpiece, should be considered. Although most existing contouring controllers are based on feedback control, this paper proposes an embedded iterative learning contouring controller (EILCC) by considering both tracking and contour errors. The reference trajectory of each feed drive axis is iteratively modified to increase the tracking performance by which contour error converges fast within a few iterations. The proposed controller can be directly applied to commercial machines currently in use without detail knowledge of their controllers or actual system parameters. The proposed method has been simulated on a sharp-corner trajectory which normally leads to large contour errors around the corner due to its discontinuity. Comparison with a conventional method was done so as to evaluate its performance. Simulation results have shown that the maximum contour error can be reduced by 50.26%.

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Research paper thumbnail of Inspection Code Generator for Hole Cylindrical Feature Evaluation in On-Machine Measurement Process for Computer-Aided Inspection Planning

2021 International Conference on Computer Science and Engineering (IC2SE)

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Research paper thumbnail of Intersection Cylindrical Feature Recognition Algorithm for Counterbore and Countersink Geometry Application

2021 International Electronics Symposium (IES)

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Research paper thumbnail of Iterative NC program modification and energy saving for a CNC machine tool feed drive system with linear motors

The International Journal of Advanced Manufacturing Technology

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Research paper thumbnail of Iterative learning contouring controller based on trajectory generation with linearly interpolated contour error estimation and Bézier reposition trajectory for computerized numerical control machine tool feed drive systems

Advances in Mechanical Engineering

In industrial applications, highly accurate mechanical components are generally required to produ... more In industrial applications, highly accurate mechanical components are generally required to produce advanced mechanical and mechatronic systems. In machining mechanical components, contour error represents the product shape quality directly, and therefore it must be considered in controller design. Although most existing contouring controllers are based on feedback control and estimated contour error, it is generally difficult to replace the feedback controller in commercial computerized numerical control machines. This article proposes an embedded iterative learning contouring controller by considering the linearly interpolated contour error compensation and Bézier reposition trajectory, which can be applied in computerized numerical control machines currently in use without any modification of their original feedback controllers. While the linearly interpolated contour error compensation enhances tracking performance by compensating the reference input with an actual value, the Bé...

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Research paper thumbnail of Iterative learning based trajectory generation for machine tool feed drive systems

Robotics and Computer-Integrated Manufacturing

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Research paper thumbnail of Bézier Curve Based Trajectory Generation and Nonlinear Friction Compensation for Feed Drive Contouring Control * *This study is partly sponsored by the Japan Society for the Promotion of Science (JSPS)

IFAC-PapersOnLine

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Research paper thumbnail of Bézier Curve Based Trajectory Generation and Nonlinear Friction Compensation for Feed Drive Contouring Control * *This study is partly sponsored by the Japan Society for the Promotion of Science (JSPS)

IFAC-PapersOnLine

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Research paper thumbnail of Embedded Iterative Learning Contouring Controller Design for Biaxial Feed Drive Systems

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Research paper thumbnail of CAIP APPLICATION ON OMM OPERATION WITH PROBE : FEATURE RECONSTRUCTION WITH SURFACE COMPARISON METHODE

The purpose of this research is to build CAIP system on OMM operation which have ability to measu... more The purpose of this research is to build CAIP system on OMM operation which have ability to measure work piece automatically based on drawing data from design division. Drawing data can be used for cost calculating, process planning, inspection planning, etc. It is still manually, so it need more time, specific human resources, and big possibility of errors if product is too much. The solution is automation on drawing data processing. Feature is the key on drawing data processing automatically. It is many feature type on product, ne of theme is primitive box feature. This aim of this research is reconstruct primitive box feature from product geometry data or STEP data. Feature reconstruction is a part of CAIP system which is implemented on OMM operation with probe. The method of this research is surface comparison which is every surface compare to another surface for recognizing surface interaction characteristics. The 2 or more surface called feature if have a same line and the surface characteristics is concave. After surface characteristics is defined, the next step is define feature type based on real or imagined surface number and similarity of plane on surface. It have 6 feature type, there are feature step or RCT (Rectangular Corner Through), corner pocket feature or RCB (Rectangular Corner Blind), slot feature or RMT (Rectangular Middle Through), edge pocket feature or RMB (Rectangular Middle Blind), middle feature or RHB (Rectangular Hole Blind), and hole feature or RHT (Rectanglar hole through). This module can reconstruct feature which have type, position, and dimension information. This data will be processed by next module for planning inspection process

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Research paper thumbnail of CAIP APPLICATION IN OMM OPERATION WITH PROBE: GLOBAL CAIP SYSTEM

The flow of information between each sector is important such as drawing data from design divisio... more The flow of information between each sector is important such as drawing data from design division to production division or quality control division. CAIP (Computer Aided Inspection Planning) system is expected to guarantee drawing information flow to quality control sector. This system use drawing file from design division as input information. Generally, drawing data type is used at CAD software is STEP data. STEP data consist of product geometry information such as surface, line, point, and surface vector direction. The information can be used by CAIP system is feature data. Furthermore, it need feature reconstruction process which is based on STEP geometry information. This research use primitive box feature type. This feature type can be measured by any measurement device such as Vernier caliper, probe, and micrometer. This system uses probe as automation measurement device. It can measure any product geometry type. It can be used at CNC machine or it called OMM (On Machine Measurement) operation. This operation make product not need move out from CNC for measuring. The aims of this research is automatically measuring product based on product geometry data with probe as measurement device. This research uses CNC 5 Axis DMU150 machine with Heidenhan iTNC530 controller. It divided into 4 step, there are surface identification, feature reconstruction, inspection process planning, and inspection code generated. To sum up CAIP system can measure product automatically based on design data (STEP file)

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Research paper thumbnail of CAIP APPLICATION IN OMM OPERATION FOR BOX PRIMITIVE FEATURE : INSPECTION CODE GENERATION FOR ON MACHINE MEASUREMENT OPERATION

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Research paper thumbnail of Hole feature recognition from 3D solid model for CAIP application

AIP Conference Proceedings

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Research paper thumbnail of Automatic Evaluation Algorithm for Hole Cylindrical Feature in CNC Machine Application

2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)

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Research paper thumbnail of Application of Iterative Learning Contouring Control to a Machine Tool Feed Drive System with Linear Motors

2019 IEEE/SICE International Symposium on System Integration (SII)

This paper presents a design of iterative learning contouring controller (ILCC) by considering ac... more This paper presents a design of iterative learning contouring controller (ILCC) by considering actual contour error compensation (ACEC) to enhance the contouring performance of CNC machine tool feed drive systems. The proposed control iteratively modifies NC programs for each drive axis to reduce the contour error. Hence, the proposed controller can be directly applied to commercial CNC machines currently in use without any modification of their original controllers. The effectiveness of the proposed method has been experimentally verified through linear motor CNC machine tools with a non-smooth rhombus trajectory. Experimental results have shown that the maximum and mean contour error was reduced by 90.56% and 79. 34%, respectively, as compared to the originally equipped controller.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Iterative Learning Reference Trajectory Modification for Contouring Performance Enhancement of Industrial Machine Tool Feed Drive Systems

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Embedded iterative learning contouring controller design for biaxial feed drive systems

2016 International Electronics Symposium (IES), 2016

In machine tool control, not only tracking errors in each drive axis but also contour errors, whi... more In machine tool control, not only tracking errors in each drive axis but also contour errors, which is directly related to the machined shape of workpiece, should be considered. Although most existing contouring controllers are based on feedback control, this paper proposes an embedded iterative learning contouring controller (EILCC) by considering both tracking and contour errors. The reference trajectory of each feed drive axis is iteratively modified to increase the tracking performance by which contour error converges fast within a few iterations. The proposed controller can be directly applied to commercial machines currently in use without detail knowledge of their controllers or actual system parameters. The proposed method has been simulated on a sharp-corner trajectory which normally leads to large contour errors around the corner due to its discontinuity. Comparison with a conventional method was done so as to evaluate its performance. Simulation results have shown that the maximum contour error can be reduced by 50.26%.

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Inspection Code Generator for Hole Cylindrical Feature Evaluation in On-Machine Measurement Process for Computer-Aided Inspection Planning

2021 International Conference on Computer Science and Engineering (IC2SE)

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Research paper thumbnail of Intersection Cylindrical Feature Recognition Algorithm for Counterbore and Countersink Geometry Application

2021 International Electronics Symposium (IES)

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Iterative NC program modification and energy saving for a CNC machine tool feed drive system with linear motors

The International Journal of Advanced Manufacturing Technology

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Iterative learning contouring controller based on trajectory generation with linearly interpolated contour error estimation and Bézier reposition trajectory for computerized numerical control machine tool feed drive systems

Advances in Mechanical Engineering

In industrial applications, highly accurate mechanical components are generally required to produ... more In industrial applications, highly accurate mechanical components are generally required to produce advanced mechanical and mechatronic systems. In machining mechanical components, contour error represents the product shape quality directly, and therefore it must be considered in controller design. Although most existing contouring controllers are based on feedback control and estimated contour error, it is generally difficult to replace the feedback controller in commercial computerized numerical control machines. This article proposes an embedded iterative learning contouring controller by considering the linearly interpolated contour error compensation and Bézier reposition trajectory, which can be applied in computerized numerical control machines currently in use without any modification of their original feedback controllers. While the linearly interpolated contour error compensation enhances tracking performance by compensating the reference input with an actual value, the Bé...

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Research paper thumbnail of Iterative learning based trajectory generation for machine tool feed drive systems

Robotics and Computer-Integrated Manufacturing

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Research paper thumbnail of Bézier Curve Based Trajectory Generation and Nonlinear Friction Compensation for Feed Drive Contouring Control * *This study is partly sponsored by the Japan Society for the Promotion of Science (JSPS)

IFAC-PapersOnLine

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Research paper thumbnail of Bézier Curve Based Trajectory Generation and Nonlinear Friction Compensation for Feed Drive Contouring Control * *This study is partly sponsored by the Japan Society for the Promotion of Science (JSPS)

IFAC-PapersOnLine

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Embedded Iterative Learning Contouring Controller Design for Biaxial Feed Drive Systems

Bookmarks Related papers MentionsView impact

Research paper thumbnail of CAIP APPLICATION ON OMM OPERATION WITH PROBE : FEATURE RECONSTRUCTION WITH SURFACE COMPARISON METHODE

The purpose of this research is to build CAIP system on OMM operation which have ability to measu... more The purpose of this research is to build CAIP system on OMM operation which have ability to measure work piece automatically based on drawing data from design division. Drawing data can be used for cost calculating, process planning, inspection planning, etc. It is still manually, so it need more time, specific human resources, and big possibility of errors if product is too much. The solution is automation on drawing data processing. Feature is the key on drawing data processing automatically. It is many feature type on product, ne of theme is primitive box feature. This aim of this research is reconstruct primitive box feature from product geometry data or STEP data. Feature reconstruction is a part of CAIP system which is implemented on OMM operation with probe. The method of this research is surface comparison which is every surface compare to another surface for recognizing surface interaction characteristics. The 2 or more surface called feature if have a same line and the surface characteristics is concave. After surface characteristics is defined, the next step is define feature type based on real or imagined surface number and similarity of plane on surface. It have 6 feature type, there are feature step or RCT (Rectangular Corner Through), corner pocket feature or RCB (Rectangular Corner Blind), slot feature or RMT (Rectangular Middle Through), edge pocket feature or RMB (Rectangular Middle Blind), middle feature or RHB (Rectangular Hole Blind), and hole feature or RHT (Rectanglar hole through). This module can reconstruct feature which have type, position, and dimension information. This data will be processed by next module for planning inspection process

Bookmarks Related papers MentionsView impact

Research paper thumbnail of CAIP APPLICATION IN OMM OPERATION WITH PROBE: GLOBAL CAIP SYSTEM

The flow of information between each sector is important such as drawing data from design divisio... more The flow of information between each sector is important such as drawing data from design division to production division or quality control division. CAIP (Computer Aided Inspection Planning) system is expected to guarantee drawing information flow to quality control sector. This system use drawing file from design division as input information. Generally, drawing data type is used at CAD software is STEP data. STEP data consist of product geometry information such as surface, line, point, and surface vector direction. The information can be used by CAIP system is feature data. Furthermore, it need feature reconstruction process which is based on STEP geometry information. This research use primitive box feature type. This feature type can be measured by any measurement device such as Vernier caliper, probe, and micrometer. This system uses probe as automation measurement device. It can measure any product geometry type. It can be used at CNC machine or it called OMM (On Machine Measurement) operation. This operation make product not need move out from CNC for measuring. The aims of this research is automatically measuring product based on product geometry data with probe as measurement device. This research uses CNC 5 Axis DMU150 machine with Heidenhan iTNC530 controller. It divided into 4 step, there are surface identification, feature reconstruction, inspection process planning, and inspection code generated. To sum up CAIP system can measure product automatically based on design data (STEP file)

Bookmarks Related papers MentionsView impact

Research paper thumbnail of CAIP APPLICATION IN OMM OPERATION FOR BOX PRIMITIVE FEATURE : INSPECTION CODE GENERATION FOR ON MACHINE MEASUREMENT OPERATION

Bookmarks Related papers MentionsView impact