In today’s competitive world, the industries should have production systems which are capable of versatility, high production rate, precision and ability to produce highly finished goods. Due to this the value of input machining parameters responsible for the desired surface finish & material removal rate becomes critical. Present paper presents a study on parametric optimization of the End Mil...

During the last few years, several sheet hydroforming processes have been introduced. Despite the advantages of these methods, they have some limitations. Of the processes, the two main ones are the standard hydroforming and hydromechanical deep drawing. A new sheet hydroforming die set was proposed that has the advantages of both processes and eliminates their limitations. In this method, a po...

Representing motions as linear sums of principal components has become a widely accepted animation technique. While powerful, the simplest version of this approach is not particularly well suited to modeling the specific style of an individual whose motion had not yet been recorded when building the database: It would take an expert to adjust the PCA weights to obtain a motion style that is ind...

The traditional data-driven process monitoring methods may not be applicable for the system which has dynamic and multimode characteristics. In this paper, a novel scheme named modified t-distribution stochastic neighbor embedding using augmented Mahalanobis-distance chemical (AKMD-t-SNE) is proposed to realize multimodal monitoring. First, matrix strategy utilized ensure sample contains autoco...

An electronic nose (EN) is an artificial olfactory system that tries to perform the same task as human olfactory system and widely used in the gas analysis field. EN consists of an array of chemical sensors possessing broad specificity, coupled to electronics and software that allow feature extraction – extraction of salient data for further analysis, together with pattern recognition – identif...

The specific effect of chemical and physical factors on amidase production from Geobacillus subterraneus RL-2a was investigated using design of experiments (DOE) methodology. The one-factor-at-a-time (OFAT) method was used to study the effects of carbon and nitrogen sources on amidase production. Subsequently, optimal levels of physical parameters and key media components, namely temperature, p...

Methods of designing equipment to improve quality have been developed by Taguchi. A key feature of these methods is the development of loss function, which quantifies the financial cost (loss) resulting from deviations from target dimensions. Total knee arthroplasties can fail due to prosthetic component malalignment. A Taguchi loss function for varus/valgus alignment of the prosthesis and revi...

In this paper we address the problem of measuring the degree of consensus/dissensus in a context where experts or agents express their opinions on alternatives or issues by means of cardinal evaluations. To this end we propose a new class of distance-based consensus model, the family of the Mahalanobis dissensus measures for profiles of cardinal values. We set forth some meaningful properties o...

In this article, the dynamic Taguchi methodology is applied to the design of a barcode scanner. The concurrent engineering process involves a team of design and manufacturing engineers engaged in both hardware and software aspects of the product. The purpose of this experimental study is to determine the correlation between the outcomes of the conventional design and Taguchi optimization. The m...

Taguchi Method is explained in brief and one of the textile processes, called spinning process, is optimised by using Taguchi method for manufacturing optimum packing density of different technologies yarns. The effect of process variables like: lap hank, card draft, draft/doublings and drafts at speed frame, ring frame, rotor and air-jet spinning machine on packing density parameters of respec...