Data extraction from computer aided design package and find optimal or near-optimal operation sequences using Genetic algorithm for rotational parts

Bilgisayar destekli tasarım verilerinin kullanımı, CAD içerisindeki tasarım modelinin islem planlaması için unsur modeline dönüstürülmesi asamasında önemli ölçüde is ve zaman tasarrufu sağlamaktadır. Bu çalısmada amaçlanan, dönel parçalar için optimum veya optimuma en yakın islem sıralamalarının, genetik algoritmaya dayalı herüstik arastırma tekniği kullanılarak belirlenmesidir. Bu amaç doğrultusunda, CAD paketinden bilgi çıkarımı, islenecek parçanın unsur bilgilerinin elde edilmesi, parça için mümkün olan tüm islem sıralarının belirlenmesi ve öncelik grafiğinin hazırlanması gibi modüller gelistirilmistir. Yapılan uygun bir islem sırası optimizasyonu ile kalem değistirme ve kalemin bosta gezme zamanı düsürülmekte ve buna bağlı olarak tezgahtan maksimum seviyede faydalanılmaktadır. Diğer bir ifade ile is parçasının üretim zamanı ve maliyeti önemli ölçüde düsürülmektedir.

Dönel parçalar için CAD paketinden bilgi çıkarımı ve optimum veya optimuma en yakın işlem sıralamalarının genetik algoritma kullanılarak belirlenmesi

The use of CAD database saves a considerable amount of work and time to transform the design model represented in CAD into a feature model for process planning. The purpose of this study is to find optimal or near-optimal operation sequences using a heuristic search technique based on genetic algorithm for rotational parts. For this purpose, a set of software, such as, data extraction from Computer Aided Design packages, feature extraction of part to be machined, generating all possible machining sequences for the part, generating the precedence graph is developed. The effective optimization of sequences is obtaining by considering tool changes to reduce, tool traveling time, and machine utilization, the cost and the production time of the component.

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