Dimensional Optimization of Road Transport Milk Tankers Using Genetic Algorithm


Kaptan A., Kartal F.

3. Bilsel International Erzurum Scientific Research Congress, Erzurum, Türkiye, 25 - 26 Nisan 2026, ss.1-10, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Erzurum
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1-10
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

For the road transport of non-pressurized fluids in the liquid phase, vehicle-mounted tankers are widely used. One example is multi-compartment tankers used in milk transportation. Milk transportation presents several design considerations, including temperature limitations, contact with food, and turbulence problems arising from its liquid nature. Furthermore, design activities must be carried out considering the directives of the road transport regulations. This study presents the dimensional optimization of a 5-compartment, 28 m³ capacity road milk tanker made of AISI 316L stainless steel. The optimization focuses on four fundamental geometric parameters: total length (L), cross-sectional height (H), number of compartments (tanks) (n), and wall thickness (t). Six different loading scenarios were evaluated, and under a volume constraint of 28 m³, a genetic algorithm was used to achieve minimum mass and maximum safety factor. The results show that increasing the wall thickness from 4.0 mm to 4.2 mm, reducing the length from 11.4 m to 10.8 m, and increasing the aspect ratio from 1.17 to 1.20 resulted in a 14.6% reduction in total mass. The existing 5-section design was confirmed to be optimal in terms of anti-sway. On the other hand, it was shown that the safety factor could be maintained above 1.5 in various scenarios that may be encountered on the road, such as static loading, braking, curves, combined, potholes, and rollover.