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by Joseph G. Horner
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by John Watson
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by Ernst Schwarzkopf
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by John Jernberg
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論文
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Kawamoto, Kiichiro ; Yoneyama, Takeshi ; Okada, Masato ; Kitayama, Satoshi ; Chikahisa, Junpei
概要:
This study focused on utilizing a servo die cushion (in conjunction with a servo press) as a "back-pressure load generator," to determine its effect on shape accuracy of the formed part and total forming load in forward extrusion during
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cold forging. The effect of back-pressure load application was confirmed in experiments, and the optimum setting pattern of back-pressure load was considered to minimize both shape accuracy of the formed part and back-pressure energy, which was representative of forming energy using a sequential approximate optimization. The precise back-pressure load control by the servo die cushion enabled the ideal load-pattern setting for optimization to be achieved.
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| 6.
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論文
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浅川, 直紀 ; Asakawa, Naoki
概要:
本年度の研究実績の概要は以下の通りである・工具姿勢に関する基礎データの測定平面状の工作物に対し、さまざまな姿勢での加工を行い、加工後の工作物について測定を行った。測定は、現有の形状測定器による形状測定のほか、工作物のひずみを測定した。・デー
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タの解析工具の姿勢と加工特性の関係を解析した。測定の際は、工具の姿勢のみでなく、さまざまな板厚の場合のデータも計測し、それらを総合して解析することにより、加工の進行中の加工によって板厚と工具の適用角度が同時に変化するような状況を想定し、典型的な加工の進行状況の際の工作物の変化を予測したモデルを構築した。構築したモデルを数式化し、加工開始時点から目的形状に達するまでの進行状況をある程度予測できるようにした。最終的な形態として、工具の角度と加工特性の関係を簡易なシミュレーションで表した。・誤差補正のためのレンジファインダの高精度化より高い精度と自由度を持つレンジファインダを作成した。このレンジファインダでは、使用する部品の性能を向上させ、さらにサブピクセル法と呼ばれる方法を用い、取得した画像データから、ソフトウェア的にもさらに精度を向上させた。・誤差のフィードバックによる加工精度の向上把握した工具の姿勢と加工状態の関係と,レンジファインダにより得られた十分な精度の情報より、修正加工を行うソフトウェアを開発した。すなわち、加工の途中で計測をインプロセスで行い、その時点での加工形状と、本来その時点で得られるはずの形状を比較し、その差分を工具経路にフィードバックして修正し、加工をすすめた。必要に応じて逐次加工経路を修正し、要求する加工精度を得ることができた。<br />CAD/CAM spread from manufacturing to product design to support trial manufactures and accurate simulation. Product design requires mock ups to evaluate product shape and check interference. With includes layer creations, e.g. stereo lithography and selective laser sintering (RS) and machining creations e.g. high-speed machining and turning often used in product design.On the other hand, plastic working is a vital industrial process using a material's plasticity to obtain a designated shape as the industrial mass production.Processing using dies discrimination of3-climensional (3D) CAD, rapid prototyping has progressed mainly in 3D printer use enabling 3D models based on CAD data to be created quidcly.3D modeling for rapid prototyping is not suitable for small-lot multiple-item production, leading to a need for plastic working without dies. While forging and sheet metal forming are processed with die manufacturing as mass production, although factory automation supported by CAD/CAM and/ or CNC machine tools and/or industrial robots are progressing, in small-lot production of large rumbas of items or trial production, five forging and metal hammering depend on human skill costing time and money due to lack of alternatives 'lb automate such works, processing requiring no dies is studied and applied fm practical examples. Until today, some studies on automating flaming cylindrical bodies having free-curved surfaces by incremental forming or hammering are reported.We have proposed numerically controlled 3D modeling with metal hammering used as rapid prototyping. Tb automate conventional manual metal hammering, we have proposed the approaches below. At first, to verify the principle of our proposal, we have assumed 3 degrees-of freedom MOM in farming with a posture ford hammer As the result, the system could perform an automated metal hammering working based on CAD data For example, relatively simplified shapes were formed. However, since simplified automated metal hammering system has only 3 D0F, it could not perform metal hammering working flexibly as the human workers do.Furthermore, the system did not have enough ability to form objective shape accurately pampering with the defined shape on CAD. Therefore, we attempt to apply an industrial robot to perform metal hammering working in other to imitate human worker with range finder which improves errors in dimension and shape of the workpiece. ACAM having feed-back function considering tool posture by use of range finder is developed to improve a depth error and a shape error at corner part. From the experimental result, the system is hind to have an ability to decrease the shape error by tool posture optimization.<br />研究課題/領域番号:18560101, 研究期間(年度):2006-2007<br />出典：「塑性変形型ラピッドプロトタイピングシステムの開発」研究成果報告書 課題番号18560101 (KAKEN：科学研究費助成事業データベース（国立情報学研究所）) 本文データは著者版報告書より作成
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