Parallel Turning Process Parameter Optimization Based on a Novel Heruistic Approach  

Oleh:

Tang, Lie ; Landers, Robert G. ; Balakrishnan, S. N.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Journal of Manufacturing Science and Engineering vol. 130 no. 3 (Jun. 2008), page 031002.
Topik: Parallel Turning Process; A Novel Heuristic Approach; Single-Tool Machining Operations

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ93.11 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

Process parameter optimization has been widely investigated in single-tool machining operations. However, for multitool machining operation optimization, the research reported in literature is scarce. In this paper, a novel heuristic algorithm based on particle swarm optimization (PSO) is proposed to optimize, in terms of minimum machining time, the process parameters for two-tool paralle turning operations with n features. Both single-pass and multipass operations are considered. The simulation results show that the performance of the proposed algorithm, in terms of total machining time and required computational time, is superior to an exhaustive search algorithm.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali