dc.identifier.citation | Abdulkareem, S., U. J. Rumah, and A. Adaokoma, (2011). “Optimizing Machining Parameters During Turning Process.” International Journal of Integrated Engineering, Vol. 3 No. 1, pp. 23-27.Aggarwal, A. and H. Singh,(2005). ”Optimization of Machining Techniques – A Retrospective and Literature Review.” Sadhana, Vol. 30, 6, pp. 699–711. Groover, M. P., (2006). ”Fundamentals of Modern Manufacturing (Materials, Processes, and Systems) - Third Edition.”, John Wiley & Sons, Inc. Jenkins, N., (2005). “How to Make Software - An Introduction to Software Development.”, Creative Commons. Perdana, K. (2012), "Prototype Application Development for Machining Optimization of Involved Cutting Parameters in Turning Process", Bachelor Thesis, Department of Industrial Engineering, Swiss German University, Tangerang, Indonesia. Srinivasan, K. & D. Fisher, (1995). “Machine Learning Approaches to Estimating Software Development Effort.”IEEE Trans. SE, Vol. 21, No. 2, pp. 126-137. Szalvay, V., (2004).“An Introduction to Agile Software Development. “Bellevue: Danube Technologies, Inc. Weise, T., (2009).“Global Optimization Algorithms, Theory and Application.” Germany: it weise.de . | en_US |
dc.description.abstract | In machining industries, the selection of sets of cutting parameters; cutting speed (v), feed (f), and
depth of cut (d) do not put much concern on optimization. In practice, they are even set intuitively or
by looking at manual reference table. The study commences with constructing a software based
optimization tool. The application software optimizes cutting parameters based on production time
and cost for turning operations. The development of the software application captures the idea of
product development process with the prototype itself assigned as the product being developed.
Product specifications and product feature are derived to meet the requirements. Database of cutting
tools geometry, cutting tools’ materials (allowable maximum v and f), stock-workpiece geometry,
workpiece material properties (amongst others, yield strength, shear strength, modulus of elasticity,
unit power, and Brinell hardness), and machine type characteristics are developed using
GNU/PostgreSQL database. Java programming language is used to develop the software product. To
develop the prototype application, a modeling effort of the software architecture is performed by
using GNU/Umbrello, a UML – Unified Modeling Language application. The implementation of
process optimization in this application is based on Taylor's Tool Life formula. Iterations are
performed to provide the suitable cutting parameters based on cutting power, cutting force, allowable
beam (workpiece) deflection, manufacturing cost and time. The functionally-tested application has
made it a prototype with prospect in becoming a very helpful tool later on for machining operators to
find a set of optimized cutting parameters with consideration of several machining constraints. | en_US |