Proposal for a Product Classification Strategy for the AI-Assisted Generative Design Approach in Industrial Design Process

Saygın Yücekule; H. Güçlü Yavuzcan

Makale detayları

Proposal for a Product Classification Strategy for the AI-Assisted Generative Design Approach in Industrial Design Process

Yazarlar:

Saygın Yücekule | H. Güçlü Yavuzcan

Yayıncı:

Gazi University

Ana Başlıklar:

Endüstriyel Ürün Tasarımı

Dergi:

Gazi University Journal of Science Part B: Art Humanities Design and Planning Vol.12 Issue 4, pp.735-753

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001336743

pISSN:

2147-9534

Anahtar kelimeler:

Özet:

 There are numerous product types where the design processes surpass the product lifespan. This circumstance increasingly emphasizes the significance of time management in design processes over time. The generative design approach stands out compared to traditional design processes by generating alternative forms in a shorter timeframe. In the field of industrial design, the utilization of generative design is relatively recent compared to areas like architecture and computer technologies. The integration of AI-supported generative design algorithms into CAD software has eliminated barriers requiring software and programming knowledge, rendering generative design more feasible for designers. While there are numerous studies in the literature on topics such as generative design systems, the advantages provided by generative systems and their application areas, shortcoming have been observed in research evaluating the feasibility of generative design according to products. This study aims to propose a product classification strategy for the generative design approach in industrial design processes. Within the scope of the study, form classes, structural types in product design and example products created with generative design were examined through the working system of Fusion 360 Generative Design and a product classification strategy for the generative design approach has been suggested. A pilot study was conducted to test the proposed classification strategy within the scope of the study. Trials for form creation were conducted with two expert designers in three categories. Feedback was collected through interview and observation notes. The experts have expressed the view that the proposed classification is consistent with the working system of generative design and the concept of usability.

 There are numerous product types where the design processes surpass the product lifespan. This circumstance increasingly emphasizes the significance of time management in design processes over time. The generative design approach stands out compared to traditional design processes by generating alternative forms in a shorter timeframe. In the field of industrial design, the utilization of generative design is relatively recent compared to areas like architecture and computer technologies. The integration of AI-supported generative design algorithms into CAD software has eliminated barriers requiring software and programming knowledge, rendering generative design more feasible for designers. While there are numerous studies in the literature on topics such as generative design systems, the advantages provided by generative systems and their application areas, shortcoming have been observed in research evaluating the feasibility of generative design according to products. This study aims to propose a product classification strategy for the generative design approach in industrial design processes. Within the scope of the study, form classes, structural types in product design and example products created with generative design were examined through the working system of Fusion 360 Generative Design and a product classification strategy for the generative design approach has been suggested. A pilot study was conducted to test the proposed classification strategy within the scope of the study. Trials for form creation were conducted with two expert designers in three categories. Feedback was collected through interview and observation notes. The experts have expressed the view that the proposed classification is consistent with the working system of generative design and the concept of usability.

 There are numerous product types where the design processes surpass the product lifespan. This circumstance increasingly emphasizes the significance of time management in design processes over time. The generative design approach stands out compared to traditional design processes by generating alternative forms in a shorter timeframe. In the field of industrial design, the utilization of generative design is relatively recent compared to areas like architecture and computer technologies. The integration of AI-supported generative design algorithms into CAD software has eliminated barriers requiring software and programming knowledge, rendering generative design more feasible for designers. While there are numerous studies in the literature on topics such as generative design systems, the advantages provided by generative systems and their application areas, shortcoming have been observed in research evaluating the feasibility of generative design according to products. This study aims to propose a product classification strategy for the generative design approach in industrial design processes. Within the scope of the study, form classes, structural types in product design and example products created with generative design were examined through the working system of Fusion 360 Generative Design and a product classification strategy for the generative design approach has been suggested. A pilot study was conducted to test the proposed classification strategy within the scope of the study. Trials for form creation were conducted with two expert designers in three categories. Feedback was collected through interview and observation notes. The experts have expressed the view that the proposed classification is consistent with the working system of generative design and the concept of usability.

 Tasarım süreçlerinin ürün ömrünü aştığı çok sayıda ürün türü vardır. Bu durum, tasarım süreçlerinde zaman yönetiminin önemini zaman içinde daha fazla artırmıştır. Üretken tasarım yaklaşımı, geleneksel tasarım süreçlerine kıyasla daha kısa bir zaman diliminde alternatif formlar üretmesiyle ön plana çıkmaktadır. Üretken tasarımın kullanımı mimarlık ve bilgisayar teknolojileri gibi alanlara kıyasla endüstriyel tasarım alanında nispeten yenidir. Yapay zeka destekli üretken tasarım algoritmalarının CAD yazılımına entegre edilmesi, yazılım ve programlama bilgisi gerektiren engelleri ortadan kaldırarak, üretken tasarımı tasarımcılar için daha uygulanabilir hale getirmiştir. Üretken tasarım sistemleri, üretken sistemlerin sağladığı avantajlar ve uygulama alanları gibi konularda literatürde çok sayıda çalışma olmasına rağmen, ürünlere göre üretken tasarımın uygulanabilirliğini değerlendiren araştırmalarda eksiklikler gözlemlenmiştir. Bu çalışma, endüstriyel tasarım süreçlerinde üretken tasarım yaklaşımı için bir ürün sınıflandırma stratejisi önermeyi amaçlamaktadır. Çalışma kapsamında, Fusion 360 Generative Designın çalışma sistemi üzerinden ürün tasarımında form sınıfları, strüktür türleri ve üretken tasarımla oluşturulan örnek ürünler incelenmiş ve üretken tasarım yaklaşımı için bir ürün sınıflandırma stratejisi önerilmiştir. Önerilen sınıflandırma stratejisini test etmek için bir pilot çalışma yürütülmüştür. Form oluşturma denemeleri üç kategoride iki uzman tasarımcı ile gerçekleştirilmiştir. Geri bildirimler görüşme ve gözlem notları aracılığıyla toplanmıştır. Uzmanlar, önerilen sınıflandırmanın üretken tasarımın çalışma sistemi ve kullanılabilirlik kavramıyla tutarlı olduğu görüşünü dile getirmişlerdir.

Makale detayları

Proposal for a Product Classification Strategy for the AI-Assisted Generative Design Approach in Industrial Design Process

Yazarlar:

Saygın Yücekule | H. Güçlü Yavuzcan

Yayıncı:

Gazi University

Ana Başlıklar:

Endüstriyel Ürün Tasarımı

Dergi:

Gazi University Journal of Science Part B: Art Humanities Design and Planning Vol.12 Issue 4, pp.735-753

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001336743

pISSN:

2147-9534

Generative design

Industrial design

Product classification

Design processÜretken tasarım

Endüstriyel tasarım

Ürün sınıflandırma

Tasarım süreçleri

Sayı

Makale detayları

Yazarlar: Saygın Yücekule | H. Güçlü Yavuzcan

Yayıncı: Gazi University

Ana Başlıklar: Endüstriyel Ürün Tasarımı

Dergi: Gazi University Journal of Science Part B: Art Humanities Design and Planning Vol.12 Issue 4, pp.735-753

Belge Tipi: Makale

Yayın Tarihi: 12/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001336743

pISSN: 2147-9534

Sayı

Yazarlar:

Saygın Yücekule | H. Güçlü Yavuzcan

Yayıncı:

Gazi University

Ana Başlıklar:

Endüstriyel Ürün Tasarımı

Dergi:

Gazi University Journal of Science Part B: Art Humanities Design and Planning Vol.12 Issue 4, pp.735-753

Belge Tipi:

Makale

Yayın Tarihi:

12/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001336743

pISSN:

2147-9534