honing is a process for finishing surfaces to obtain smooth surface. this process is used for finalpolish of inner parts such as engines cylinders. optimizing this process has always been a bigchallenge for mass production of cylinder blocks of internal combustion engines. honing processhas some variable parameters, thus to get their optimum rates the automobile cylinders were tested.in this re...

the oil content of the wax produced in a dewaxing process is the key economic parameter thatshould be reduced as much as possible. some factors such as the type of solvents, cooling rate,temperature, and solvent to oil ratio influence the dewaxing process. due to the fact that crude oildiffers from place to place and since the operational conditions for wax extraction vary for differenttypes of...

cauliflower-like nanostructure of cadmium oxide was synthesized by utilizing mechanochemical reaction followed calcination procedure for the first time. the design of experiment (doe) by taguchi method was used to study influence of the chosen factors and to consider optimum conditions of the experiments. the temperature of calcining, the duration of milling, the duration of calcining and react...

friction-stir welding process is a novel method of solid state welding, which produces heat due to friction between the pin, the shoulder and the workpiece. this heat causes a paste area. shoulder pressure and pin spin cause edges integration and lead to welding. in this study, firstly, the feasibility of welding of steel sheet (en10130) with a thickness of 1.5mm has been tested by 58 experimen...

Viscoelastic materials can today be found in a wide range of practical applications. In order to make efficient use of these materials in construction, it is of importance to know how they behave when subjected to dynamic load. Characterization of viscoelastic materials is therefore an important topic, that has received a lot of attention over the years. This thesis treats different methods for...

A well-designed and constructed experiment will be robust under questioning, and will focus criticism on conclusions [1], rather than potential experimental errors [2]. A sound experimental design should follow the established scientific protocols and generate good statistical data [3]. As an example, experiments on an industrial scale can cost millions of dollars. Repeating the experiment beca...

This paper considers the problem of selecting the most informative experiments x to get measures y for learning an inference model y = f(x). We propose a novel concept for active learning, transductive experiment design, to overcome the shortcomings of existing experiment design methods, e.g. insufficient exploration of available unmeasured data and poor scalability for large data sets. In-dept...