Optimal tool selection for pocket machining in process planning

Kyoung, Y.M.; Cho, K.K.; Jun, Cha-Soo

doi:10.1016/s0360-8352(97)00179-4

Cited by 17 publications

(5 citation statements)

References 7 publications

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“…Faktor terpenting dalam pemesinan bentuk rongga adalah ukuran pahat karena semua faktor yang lain tergantung pada ukuran pahat (Kyoung, et al, 1997). Di sisi lain, penentuan ukuran pahat untuk pemesinan bentuk rongga seringkali bukanlah masalah yang mudah karena beberapa alasan (Veeramani dan Gau, 1997).…”

Section: Pendahuluanunclassified

“…Strategi direction parallel memungkinkan lintasan pahat tanpa overlap tapi menyisakan scallop di sepanjang sisi bentuk rongga (Veeramani dan Gau, 1997). Sedangkan strategi contour parallel memungkinkan lintasan pahat yang bebas scallop di sepanjang sisi bentuk rongga tapi membutuhkan overlap antar lintasan untuk menghindari daerah sisa di tengah-tengah daerah bentuk rongga (Kyoung, et al, 1997).…”

Section: Pendahuluanunclassified

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Pengembangan Strategi Pemesinan Bentuk Rongga Segitiga Untuk Mengurangi Waktu Pemesinan

Chaeron¹

2016

Jurnal Optimasi Sistem Industri

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Terdapat dua strategi untuk pemesinan bentuk rongga segitiga yaitu: direction parallel dan contour parallel. Kedua strategi tersebut masing-masing mempunyai kekurangan. Pada strategi direction parallel, untuk menyelesaikan pemesinan, harus ditambahkan lintasan pahat mengelilingi batas untuk menghilangkan scallop. Sedangkan pada strategi contour parallel, pemesinan harus dilakukan secara overlap untuk menghindari timbulnya daerah sisa pemesinan di tengah area bentuk rongga. Kedua hal tersebut menyebabkan terjadinya proses pemesinan berulang. Pengembangan terhadap strategi contour parallel dan direction parallel dilakukan untuk mengurangi sebanyak mungkin terjadinya proses pemesinan berulang itu. Penambahan ataupun penggantian lintasan pahat menjadi pilihan utama dalam pengembangan startegi ini.Pada akhirnya strategi hasil pengembangan berhasil memberikan lintasan pahat yang lebih pendek, yang berarti dengan menggunakan strategi hasil pengembangan, proses pemesinan bentuk rongga dapat dilakukan lebih cepat.

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Section: Pendahuluanunclassified

Pengembangan Strategi Pemesinan Bentuk Rongga Segitiga Untuk Mengurangi Waktu Pemesinan

Chaeron¹

2016

Jurnal Optimasi Sistem Industri

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“…If all possible combinations are calculated to determine the optimum, then the search times will have an upper bound O(2 N ). Kyoung et al [10] proposed a branching and bounding procedure to determine the optimal tool combination and to largely reduce the times for searching the possible combinations. However, this search time is still too large if N is very high.…”

Section: Selecting Optimal Toolsmentioning

confidence: 99%

Selecting optimal tools for arbitrarily shaped pockets

You

Sheen

Lin

2006

Int J Adv Manuf Technol

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As a result of slicing a 3D part into 2D pockets for generating tool paths, pockets are becoming more commonly used. When a pocket is machined, the question of which of the many feasible tools for cutting the pocket is best always arises. Will cutting be more efficient if multitools are used? Will the algorithm to choose the optimal tools be timesaving enough? This paper presents a method in which an upper bound O(N) is used to choose the optimal cutting tool combination, where N is the number of feasible tools available. The proposed method is quick and sufficient for computer-aided process planning (CAPP) and computer-aided manufacturing (CAM) environments.

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“…The size of this smaller tool was chosen to be equal to the smallest corner radius. Kyoung et al (1997) describe a method for the optimal selection of multiple tools for pocket milling. They estimate the machining time by generating the tool-path using offsetting techniques.…”

Section: Multiple Tool Selection For Pocket Machining -A Reviewmentioning

confidence: 99%

Optimal tool selection for 2.5D milling, part 2: a Voronoi mountain approach for generalized pocket geometries

Seth¹,

Stori²

2005

International Journal of Computer Integrated Manufacturing

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Cutter selection is a critical subtask of machining process planning. In part 2 of this twopart series, we develop a robust approach for the selection of an optimal sequence of milling cutters. We rely on the Voronoi mountain construction algorithm developed in part 1 to support generalized pocket geometries containing multiple obstruction regions and contours consisting of circular arc and linear segments. Open edges are supported in both the original pocket contours as well as the intermediate edges that bound removal regions for subsequent tools in the optimal sequence. Exact tool-path lengths are computed for the multiple tool sequences rather than relying on area-based estimates of machining time and cost. An externally supplied table of machining technology data is required to drive the tool selection algorithm.

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Optimal tool selection for pocket machining in process planning

Cited by 17 publications

References 7 publications

Pengembangan Strategi Pemesinan Bentuk Rongga Segitiga Untuk Mengurangi Waktu Pemesinan

Pengembangan Strategi Pemesinan Bentuk Rongga Segitiga Untuk Mengurangi Waktu Pemesinan

Selecting optimal tools for arbitrarily shaped pockets

Optimal tool selection for 2.5D milling, part 2: a Voronoi mountain approach for generalized pocket geometries

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