This paper investigates a technique to find an optimal set of conditions for an isothermal process to extrude a product for a given shape and material properties with minimal defects. The inputs to this model are: the product geometry and its material data such as flow curve and microstructure during dynamic recrystallization. This is an inverse problem and the model is formulated as a non-line...

Ruled surface is widely used in engineering design such as parting surface design of injection mold and checking surface design of checking fixture, which are usually generated by offsetting 3D curves. However, in 3D curve offset, there often exist break/interaction/overlapping problems which can't be solved by current CAD software automatically. This paper is targeted at developing a 3D curve ...

Farin proposed a method for designing Bezier curves with monotonic curvature and torsion. Such are relevant in design due to their aesthetic shape. The relies on applying matrix M the first edge of control polygon curve order obtain by iteration remaining edges. With this method, sufficient conditions $M$ provided, which lead definition Class A curves, generalising previous result Mineur et al ...

Obstacle avoidance operations of tractors can cause parts land to be unavailable for planting crops, which represents a reduction in utilization. However, utilization is significant the increase agricultural productivity. Traditional obstacle path planning methods mostly focus on automatic tractor navigation with small errors, ignoring decrease due operations. To address problem, this paper pro...

Small wind turbines are gaining popularity due to their ability to meet community or domestic needs in isolated areas with relatively easier installation and lower cost than large wind turbines. This study looks at optimizing airfoils for use in small horizontal axis wind turbines. The optimization looks to maximize the lift coefficient (Cl ) while minimizing or fixing the drag coefficient (Cd)...

We research parking scene reconstruction by a deep neural network (DNN) using millimeter-wave radar. High accuracy can be achieved for the training dataset; however, it is degraded on untrained data. It an unavoidable challenge of generalizability in machine learning. To solve this issue, we propose method to utilize model knowledge and estimate reliability results. The vehicle shape with Bezie...