研究者詳細 - 児玉　紘幸

論文 - 児玉　紘幸

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Experimental verification of end-milling condition decision support system using data-mining for difficult-to-cut materials 査読

Hiroyuki Kodama, Toshiki Hirogaki, Eiichi Aoyama, Keiji Ogawa, Koichi Okuda

Advanced Materials Research 1017 334 - 339 2014年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：Trans Tech Publications Ltd

Data-mining methods using hierarchical and non-hierarchical clustering are proposed, which could help manufacturing engineers determine guidelines for deciding end-milling conditions. We have constructed a novel system that uses clustering techniques and tool catalog data to support the determination of end-milling conditions for different types of recent difficult-to-cut materials. In the present report, we especially focus on the cutting speed to estimate the performance of this system. A comparison with the conditions recommended by famous tool makers in Japan, reveals that our proposed system can be used to determine the cutting speeds for various difficult-to-cut materials. That is, milling experiments using a square end mill under two sets of end-milling conditions (conditions derived from the end-milling condition decision support system and conditions suggested by expert engineers) for difficult-to-cut materials (austenite stainless steel; JIS SUS310) showed that the catalog mining method is effective for deriving guidelines for deciding end-milling conditions at the beginning of the manufacturing stage.

DOI： 10.4028/www.scientific.net/AMR.1017.334

Experimental verification of ball-nose end-milling conditons derived from catalog-mining system based on classified inclination angles of machining surface 査読

Hiroyuki Kodama, Koichi Okuda, Yui Sugaya, Toshiki Hirogaki, Eiichi Aoyama, Keiji Ogawa

ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) 2B 2014年

担当区分：筆頭著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：AMER SOC MECHANICAL ENGINEERS

We previously proposed data-mining system to derive useful information from the data and attempt to determine the ball-nose end-milling conditions in a rapid prototype manufacturing system. Practical end-milling condition decision equations are derived to determine the end-milling conditions at each cluster by using response surface method. End-millings of hardened die steel JIS SKD61 (HRC53) and DH31S were carried out to investigate the practicability of derived mining conditions under contour line milling. As a result, our catalogmining system was found to be effective in selecting the endmilling conditions as the first trial condition. Catalog mining can derive indicative cutting conditions for unskilled engineers.

DOI： 10.1115/IMECE2014-36971

Investigation of drilling conditions of printed circuit board based on data mining method from tool catalog data-base 査読

Hisaya Haneda, Hiroyuki Kodama, Toshiki Hirogaki, Eiichi Aoyama, Keiji Ogawa

Advanced Materials Research 939 547 - 554 2014年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：TRANS TECH PUBLICATIONS LTD

Data-mining methods using hierarchical and non-hierarchical clustering are proposed that will help engineers determine appropriate drilling conditions. We have constructed a system that uses clustering techniques and tool catalog data to support the determination of drilling conditions for printed wiring boards (PWBs). Variable cluster analysis and the K-means method were used together to identify tool shape parameters that have a linear relationship with the drilling conditions listed in the catalogs. The response surface method and significant tool shape parameters obtained by clustering were used to derive drilling condition decision equations, which were used to determine the indicative drilling conditions for PWBs. Comparison of the conditions recommended by toolmakers demonstrated that our proposed system can be used to determine the drilling condition for PWBs. We carried out the drilling experiments in accordance with the catalog conditions and mining conditions, and estimated the board temperature around a drilled hole, the drilling forces, and the roughness of the drilled hole wall. © (2014) Trans Tech Publications, Switzerland.

DOI： 10.4028/www.scientific.net/AMR.939.547

Investigation of Ball-Nose End Milling Conditions Derived from Catalog Data. Mining Based on Classified Inclination. Angle of Machining Surface 査読

Y. Sugaya, H. Kodama, T. Hirogaki, E. Aoyama, K. Ogawa

Proc. of the 15th International Conference on Precision Engineering ICPE2014 2014年

工具カタログデータにデータマイニングを適用したボールエンドミル切削条件決定支援手法の提案査読

児玉紘幸, 廣垣俊樹, 青山栄一, 小川圭二

精密工学会誌 79 ( 10 ) 964 - 969 2013年10月

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：公益社団法人精密工学会

Machining is often performed by a machining center using various cutting tools and end-milling conditions for different shapes and materials. Recent improvements in CAM system make it easier for even unskilled engineers to generate NC programs. In the NC program, the end-milling conditions are decided by engineers. However, engineers need to decide the order of the process, cutting tool selection, and the end-milling conditions on the basis of their expertise and background knowledge because the CAM system cannot automatically decide them. Data-mining methods were attracted attention to support decisions about end-milling conditions. Our aim was to extract new knowledge by applying data-mining techniques to a tool catalog. We used both hierarchical and non-hierarchical clustering methods and also principal component regression. We focused on the shape element of catalog data and we visually clustered ball end-mills from the viewpoint of tool shape, which here meant the ratio of dimensions, by using the k-means method. Expressions for calculating end-milling conditions were derived from response surface method. We conducted end-milling experiments to validate the availability of calculated values.

DOI： 10.2493/jjspe.79.964

高硬度フィラ充填プリント基板のマイクロドリル加工現象の解明 : ドリル摩耗と加工時の温度特性の考察査読

船曳泰司, 児玉紘幸, 青山栄一, 廣垣俊樹, 小川圭二

砥粒加工学会誌 = Journal of the Japan Society of Grinding Engineers 57 ( 1 ) 27 - 32 2013年1月

記述言語：日本語出版者・発行元：The Japan Society for Abrasive Technology

本研究では，次世代高放熱積層板として開発された高硬度であるが高熱伝導なフィラを充填したアルミナフィラ充填プリント基板を対象に，マイクロドリル加工現象を考察するためにドリル摩耗特性，切削抵抗および加工穴周辺の温度を調べ考察した．さらに，ダイヤモンドコーティングドリルの実用性についても検討した．その結果，フィラ充填量が多い場合にダイヤモンドコーティングドリルが有効であることがわかった．また，マクロな視点からは基板材の物性よりドリルの摩耗量が切削抵抗に与える影響が大きいことがわかった．一方，ミクロな視点からは加工時の穴周辺温度は基板材の物性の影響が大きいことがわかった．

DOI： 10.11420/jsat.57.27

その他リンク： https://jlc.jst.go.jp/DN/JALC/10013686603?from=CiNii

An indicative end-milling condition decision support system using data-mining for difficult-to-cut materials based on comparison with irregular pitch and lead end-mill and general purpose end-mill 査読

Hiroyuki Kodama, Toshiki Hirogaki, Eiichi Aoyama, Keiji Ogawa

Advanced Materials Research 797 177 - 182 2013年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：TRANS TECH PUBLICATIONS LTD

Data-mining methods using hierarchical and non-hierarchical clustering are proposed that will help engineers determine appropriate end-milling conditions. We have constructed a system that uses clustering techniques and tool catalog data to support the determination of end-milling conditions for different types of difficult-to-cut materials such as austenitic stainless steel, Ni-base superalloy, and titanium alloy. Variable cluster analysis and the K-means method were used together to identify tool shape parameters that have a linear relationship with the end-milling conditions listed in the catalogs. The response surface method and significant tool shape parameters obtained by clustering were used to derive end-milling condition decision equations, which were used to determine the indicative end-milling conditions for each material. Comparison with the conditions recommended by toolmakers demonstrated that our proposed system can be used to determine the cutting speeds for various difficult-to-cut materials. © (2013) Trans Tech Publications, Switzerland.

DOI： 10.4028/www.scientific.net/AMR.797.177

Use of catalog mining to extract valuable new knowledge hidden in trivial parameters 査読

Hiroyuki Kodama, Toshiki Hirogaki, Eiichi Aoyama, Keiji Ogawa

ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) 12 2013年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：AMER SOC MECHANICAL ENGINEERS

We have developed a process that uses both hierarchical and non-hierarchical clustering methods to mine data in tool catalogs. Principal component regression is used for quantifying the correlation between the predictor and criterion variables, and multiple regression analysis is used for creating an end-milling condition determinant matrix for each cluster. We fixed the outside diameter of the tool shape parameter as a constant trivial value and examined the correlation between the other tool shape parameters and the end-milling conditions. We thereby extracted valuable new knowledge hidden in trivial parameters and built a hypothesis in regards to data-mining effect. We found that cutting speed is the most important of the criterion variables and that the number of determination coefficient is no less important for determining prediction accuracy of end-milling condition decision equations. Endmilling condition decision determinants derived from our datamining process are important indicators for adjusting endmilling conditions on the basis of end-milling efficiency and tool life. Copyright © 2013 by ASME.

DOI： 10.1115/IMECE2013-63371

Experimental Verification of Ball End-milling Condition Decision Support System Applying Hierarchical and Non-hierarchical Clustering Method 査読

H. Kodama, T. Hirogaki, E. Aoyama, K. Ogawa

Proc. of the 7th International Conference on Leading Edge Manufacturing in 21st Century 2013年

LCA Estimation of Environmental Burden Reduction Technique Considering Human Learning Curve in Decision Making of Reasonable End-milling Conditions 査読

H. Kodama, T. Hirogaki, E. Aoyama, K. Ogawa, J. Sakamoto

Proc. of the ISGMA2013 International Symposium on Green Manufacturing and Applications 2013年

赤外線画像に基づくエンドミル加工現象の診断技術の開発 : 工具温度と加工能率の関係の考察

新堂正俊, 児玉鉱幸, 廣垣俊樹, 青山栄一

同志社大学理工学研究報告 53 ( 2 ) [77] - 83 2012年7月

記述言語：日本語出版者・発行元：同志社大学

近年,迅速な試作産業の分野で機械加工における加工条件の決定を行うための新しい手法の開発が求められてきている.そこで,赤外線サーモグラフィの画像によるエンドミル加工現象の評価手法の開発に取り組んだ.本報では,赤外線サーモグラフィよりそれらの現象をモニターする技術を構築し,エンドミル工具の温度の加工条件の関係を考察した.その結果,構築した手法は単位時間当たりの材料の除去能率(MRR)がエンドミル加工時の工具温度に与える影響を評価できており,製造の現場に有効な手法であることがわかった.Nowadays, manufacturing companies have been demanded to develop new technologies to determine the machining conditions in agile and trial manufacturing fields. We therefore attempt to develop an estimating method for end-mill processes by an infrared imagery. In the present paper, we establish to monitor these processes with an infrared thermography and investigate the relationship between tool temperature and milling condition. As a result, this method is found to be effective to estimate an influence of material removal rate (MRR) on the tool temperature in the end-mill process.

DOI： 10.14988/pa.2017.0000012829

その他リンク： https://doors.doshisha.ac.jp/duar/repository/ir/15459/?lang=0

Investigation of end-milling condition decision methodology based on data mining for tool catalog database 査読

Hiroyuki Kodama, Toshiki Hirogaki, Eiichi Aoyama, Keiji Ogawa

International Journal of Automation Technology 6 ( 1 ) 61 - 74 2012年1月

掲載種別：研究論文（学術雑誌）

Data mining supports decision making about reasonable end-milling conditions. Our research objective is to excavate new knowledge with mining effect by applying data mining techniques to a tool catalog. We use hierarchical and nonhierarchical clustering data mining with catalog data by applying multiple regression analysis and focusing on the catalog data shape element. We visually grouped end-mills on the basis of tool shape, considering the ratio of tool shape dimensions, by employing the K-means method. We found that factors related to blade length and full length ratio are effective in for making end-milling condition decisions. These factors have not previously been singled out through background knowledge or expert knowledge, but they were noticed as a data mining effect.

DOI： 10.20965/ijat.2012.p0061

An end-milling condition decision support system using data-mining for difficult-to-cut materials 査読

Hiroyuki Kodama, Masatoshi Shindou, Toshiki Hirogaki, Eiichi Aoyama, Keiji Ogawa

Advanced Materials Research 565 472 - 477 2012年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：TRANS TECH PUBLICATIONS LTD

We proposed the data-mining methods using hierarchical and non-hierarchical clustering methods to help engineers decide appropriate end-milling conditions. The aim of our research is to construct a system that uses clustering techniques and tool catalog data to support the decision of end-milling conditions for difficult-to-cut materials. We used variable cluster analysis and the K-means method to find tool shape parameters that had a linear relationship with the end-milling conditions listed in the catalog. We used the response surface method and significant tool shape parameters obtained by clustering to derive end-milling condition. Milling experiments using a square end mill under two sets of end-milling conditions (conditions derived from the end-milling condition decision support system and conditions suggested by expert engineers) for difficult-to-cut materials (austenite stainless steel) showed that catalog mining can be used to derive guidelines for deciding end-milling conditions. © (2012) Trans Tech Publications, Switzerland.

DOI： 10.4028/www.scientific.net/AMR.565.472

LCA estimation of end-milling condition derived from catalog-mining considering human learning curve 査読

Hiroyuki Kodama, Toshiki Hirogaki, Eiichi Aoyama, Keiji Ogawa, Junichi Sakamoto

Proceedings of the ASME Design Engineering Technical Conference 2 ( PARTS A AND B ) 1163 - 1172 2012年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：AMER SOC MECHANICAL ENGINEERS

Choosing cutting tools and end-milling conditions depends on expert engineersâTM knowledge and experience, and often a lengthy process of trial and error is required before they obtain appropriate cutting conditions. We have previously proposed data-mining methods to make decisions about end-milling conditions on the basis of catalog data. We cut hardened die steel JIS SKD61 under three kinds of end-milling conditions: catalog recommended conditions, conditions derived from datamining (mined conditions), and expert engineer conditions. We used LCA to evaluate quantitatively the environmental impact resulting from these conditions. We designed an index model of the environmental burden in the technical mastering process under the three condition. The results show that unskilled engineers could decrease the cumulative environmental burden by working under the mined condition in the initial stage. Recommending the use of the mined condition in the initial stage is therefore considered best. Copyright © 2012 by ASME.

DOI： 10.1115/DETC2012-70843

データマイニングによるエンドミル切削条件決定法からの知識抽出:自明な工具パラメータを除いたマイニング手法の提案査読

児玉紘幸, 廣垣俊樹, 青山栄一, 小川圭二

砥粒加工学会誌 56 ( 3 ) 173 - 178 2012年

記述言語：日本語出版者・発行元：社団法人砥粒加工学会

本研究では，工具カタログデータに，階層・非階層型のクラスタリング手法を適用することで，切削条件決定を支援できるシステムを用いた知識発見手法の提案を行った．提案する手法では，工具カタログに記載されている膨大な公開情報に基づき，データマイニングプロセスにおいて生産加工技術に価値ある新知識の発掘を目的とする．切削条件決定に際して，データクレンジングの新しい試みとして背景知識より自明であると考えられる工具外径Dを一定値に固定化することで，他の工具パラメータがもつ切削条件への影響度合いを考察した．

DOI： 10.11420/jsat.56.173

高硬度フィラ入りプリント基板のマイクロドリル加工現象の解明査読

船曳泰司, 児玉紘幸, 青山栄一, 廣垣俊樹, 小川圭二

砥粒加工学会誌 56 ( 4 ) 244 - 249 2012年

記述言語：日本語出版者・発行元：社団法人砥粒加工学会

本研究では，次世代高放熱積層板として開発された高硬度であるが高熱伝導なフィラを充填したアルミナフィラ含有プリント基板を対象に，マイクロドリル加工現象を考察するためにドリル摩耗特性を調べ，実用加工条件式を導出した．さらに，高熱伝導フィラ含有プリント基板における熱伝導特性の変化が加工時の基板温度へ及ぼす影響を調べた．その結果，次のことが明らかとなった．基板温度は基板のフィラ量増加に伴う放熱作用及び工具摩耗による発熱作用の複合現象が起きており，ある切削速度で基板温度の極大値が発生することがわかった．また，導出したドリル摩耗の実用加工条件式はサンドエロージョン効果を考慮するとテーラーの工具寿命方程式と似た形となった．そして，ケーススタディの結果，導出した実用加工条件式の有用性を示した．

DOI： 10.11420/jsat.56.244

工具カタログデータにデータマイニング手法を応用した粗加工用切削条件決定支援査読

児玉紘幸, 廣垣俊樹, 青山栄一, 小川圭二

砥粒加工学会誌 56 ( 12 ) 824 - 829 2012年

記述言語：日本語出版者・発行元：社団法人砥粒加工学会

本研究では，工具カタログデータに，階層・非階層型のクラスタリング手法を適用した切削条件決定支援システムを提案している．提案する手法では，工具カタログに記載されている工具形状を表すパラメータから，知識発見手法であるデータマイニングプロセスの中で，工具メーカが推奨する切削条件と線形関係にあるパラメータを効率的に抽出し，重回帰分析により切削条件決定行列式を導出する．本報告では，切削条件決定式により導出された切削条件の妥当性を検証するため，金型鋼を対象に切削実験を行い，切削後の切りくず形状および切れ刃形状，表面粗さにより評価した．

DOI： 10.11420/jsat.56.824

Investigation of micro-drilling for printed circuit boards containing high-hardness fillers 査読

Taiji Funabiki, Toshiki Hirogaki, Eiichi Aoyama, Keiji Ogawa, Hiroyuki Kodama

Advanced Materials Research 565 442 - 447 2012年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：TRANS TECH PUBLICATIONS LTD

This paper describes micro-drilling processes for printed circuit boards (PCBs) containing fillers with high hardness and high thermal conductivity. Inspired primarily by devices such as digital cameras, laptop computers, and wireless communications devices, the electronics field today is continuously demanding smaller, lighter, and more technologically advanced high performance devices. However, that the increase in semiconductor-generated heat tends to affect such devices negatively. Additionally, from the viewpoint of environmental problems, electric vehicles and LEDs are being developed actively. PCBs are one of the principal components for building such devices. In recent years, PCBs containing alumina fillers with high thermal conductivity have been developed and begun to be widely used. However, when processing these PCBs, the drill tools become severely worn because of the filler's high hardness. We therefore examined the drill wear characteristics. The results show the filler is the main factor that causes drill wear, while the increase in cutting force does not affect it. The cutting force increases with the drill wear linearly. Moreover, the characteristic of PCBs with higher filler content rates is close to that of inorganic material like ceramics. © (2012) Trans Tech Publications, Switzerland.

DOI： 10.4028/www.scientific.net/AMR.565.442

Practical formula for predicting drill wear in micro-drilling of printed circuit boards containing high hardness fillers 査読

Taiji Funabiki, Toshiki Hirogaki, Eiichi Aoyama, Keiji Ogawa, Hiroyuki Kodama

ASME/ISCIE 2012 International Symposium on Flexible Automation, ISFA 2012 541 - 547 2012年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：AMER SOC MECHANICAL ENGINEERS

This paper describes micro-drilling processes for Printed Circuit Boards (PCBs) containing fillers with high hardness and high thermal conductivity. Powered primarily by devices such as digital cameras, laptop computers, and wireless communications devices, current the electronics field today is continuously demanding smaller, lighter, and more technologically advanced high performance devices. It has been a problem from such a tendency that the increase in amount of semiconductor-generated heat has a undesirable influence on such devices. Additionally, from a viewpoint of environmental problems, electric vehicles and LEDs are developed actively. One of the principal components for building such devices is Printed Circuit Boards (PCBs). In recent years, PCBs containing alumina fillers with high thermal conductivity have been developed and begun to be widely used. However, when processing these PCBs, the drill tools severely wear because of the filler's high hardness. We therefore examined the drill wear characteristics and derived the practical drill wear formulas from the results to develop a suitable CAM system. It can be seen that these equations are similar to Taylor's tool life equation. We also investigated the thermal conductivity effect on temperature during drilling processes. The temperature around the drill hole was shown to be a complex phenomenon according to increasing filler content to PCBs. Copyright © 2012 by ASME.

DOI： 10.1115/ISFA2012-7214

Proposal of ball end-milling condition decision methodology using data-mining from tool catalog data 査読

Hiroyuki Kodama, Toshiki Hirogaki, Eiichi Aoyama, Keiji Ogawa, Hiroaki Hukasawa

Key Engineering Materials 523-524 386 - 391 2012年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：TRANSACTION PUBLISHERS

Machining is often performed by a machining center using various cutting tools and conditions for different shapes and materials. Recent improvements in CAM system make it easier for even unskilled engineers to generate NC programs. In the NC program, the end-milling conditions are decided by engineers. However, engineers need to decide the order of the process, cutting tool selection, and the end-milling conditions on the basis of their expertise and background knowledge because the CAM system cannot automatically decide. Data-mining methods were used to support decisions about end-milling conditions. Our aim was to extract new knowledge by applying data-mining techniques to a tool catalog. We used both hierarchical and non-hierarchical clustering of catalog data and also used applied multiple regression analysis. We focused on the shape element of catalog data and we visually grouped ball end-mills from the viewpoint of tool shape, which here meant the ratio of dimensions, by using the k-means method. We also found an expression for calculating end-milling conditions, and we compared the calculated with the catalog values. © (2012) Trans Tech Publications, Switzerland.

DOI： 10.4028/www.scientific.net/KEM.523-524.386

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