Yazar "Gologlu, C." seçeneğine göre listele
Listeleniyor 1 - 4 / 4
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe A computer aided process planning system for concurrent engineering(Professional Engineering Publishing Ltd., 2001) Pham, D.T.; Gologlu, C.This paper present ProPlanner, a hybrid computer aided process planning (CAPP) system designed to facilitate concurrent product development. ProPlanner automates information acquisition, product design interpretation, manufacturing operation planning, cutting tool selection, set-up planning and operation sequencing. The system employs a hybrid approach utilizing a combination of rule-based reasoning and object-oriented programming. It enables the early detection of design errors during the design stage before manufacturing and incorporates a feedback mechanism for correcting errors and giving suggestions to modify the product design. © IMechE 2001.Öğe Design of a route guidance system with shortest driving time based on genetic algorithm(2011) Atila, U.; Karas, I.R.; Gologlu, C.; Yaman, B.; Orak, I.M.Nowadays, with the advancement of the technology on mobile devices, route guidance systems that assist drivers on the traffic have become widespread in daily life. For an accurate routing, a route guidance system should consider the effectual factors of traffic flow such as density and allowable velocity limits of the roads. With the increase of effectual factors and amount of nodes in road network, the computational cost increases. It is not proper to find exact optimal solution in real time for the road networks with excessive number of nodes using some well known deterministic methods such as Dijkstra's algorithm on navigation systems using mobile devices with limited processing speed and memory capacity. This paper proposes a route guidance system and a Genetic Algorithm (GA) approach applied on this routing system to find the shortest driving time. Excluding classical methods, a gene search method of chromosomes named "firstmatched-genes" on crossover operation had been introduced. The efficiency of the genetic algorithm was tested by applying on the networks with different sizes and a mobile application on the traffic network of Ankara was presented.Öğe An idea for finding the shortest driving time using genetic algorithm based routing approach on mobile devices(2012) Atila, U.; Karas, I.R.; Gologlu, C.; Yaman, B.; Orak, I.M.People's orientation to the mobile devices all over the world have made the using of route guidance systems that assist drivers on the traffic widespread in daily life. For an effective routing, these systems should take into account the effectual factors of traffic flow such as allowable velocity limits of the roads and density. The computational cost of the system is up to the amount of nodes in road network and effectual factors. When we consider the road networks with excessive number of nodes, finding the exact routes in real time using some well known deterministic methods such as Dijkstra's algorithm on such routing systems may not be accurate using mobile devices with limited memory capacity and processing speed. In this paper, a Genetic Algorithm (GA) approach applied on a route guidance system for finding the shortest driving time is proposed. A different gene search approach on crossover operation named "first match- genes" had been introduced. A mobile application for the traffic network of Ankara and the performance of the genetic algorithm tested on networks with 10, 50, 250, 1000 nodes was presented.Öğe Machine capability and fixturing constraints-imposed automatic machining set-ups generation(2004) Gologlu, C.An aspect of process planning that has not received a good deal of attention is set-up planning. Machine tool configuration and fixture constrain operations in process planning. The paper presents a set-up planning module as part of a feature-based process planning system with an access of a manufacturing database. Data on component geometry, dimensions and tolerances are used to extract constraint-imposed precedence relations between features. The geometric relationship between the fixture and the machine tool is represented in an object-oriented format. Taking machine capabilities and fixturing strategies into account, the set-up planning module automatically generates multiple machining set-ups via a procedure. A case study is given to demonstrate how the procedure works. The presented module helps facilitate automation of set-up planning implementations for machining of near net shape prismatic parts on shop floor. © 2004 Elsevier B.V. All rights reserved.