Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 3

Liczba wyników na stronie
first rewind previous Strona / 1 next fast forward last
Wyniki wyszukiwania
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 1 next fast forward last
EN
Designers are facing the principal problems of effective decision making at the initial design stage of product development, which ultimately contribute to profit loss, low quality and increased time to launch the product onto the market. It requires a lot of knowledge and experience. Tools are required to analyze and ensure that crucial decisions have strong foundation before implementation. Discrete event simulation provides such a tool and has got potential to assist in decision making before final implementation. This research work aims measuring the benefits of transformation to lean product development (LPD) via simulation. Simulink-MATLAB tool was used for this purpose. The whole work is limited to design and cost estimation cells of a manufacturing company and consists of two phases. The first phase deals with the assessment of current working model of design and cost estimation cells. The areas for improvements were recognized at this phase. The proposed model for transformation to LPD was developed in the second phase. Four lean enablers namely product values, knowledge-based engineering, set-based concurrent engineering and poke-yoke were incorporated to further enhance the operation of the proposed model. This research work constitutes a useful case for practitioners. Keywords: decision making, discrete event simulation, lean product development, lean enablers
EN
Literature has vastly advocated for incremental sheet forming as a significant process for formation of sheet metal components, because of its higher formability in comparison with the rest of metal forming processes such as deep drawing and stamping. Due to high formability of incremental sheet forming it becomes important to investigate the main factors, influencing the quality of forming products. However, less attention has been given to investigate the inconsistencies reflected often in determining the effect of multiple forming parameters and parametric interactions comprising of spindle rotational speed and feed rate, tool size and sheet thickness, sheet thickness and step depth. This study investigates the effect of various principal factors including tool type, tool size, sheet thickness, spindle speed, feed rate, step increment including and their respective interaction on surface roughness. Research data was collected by undertaking extensive literature review of previous studies on incremental sheet forming regarding surface quality. A quantitative one way analysis of variance (ANOVA) was employed to analyze the significance and contribution of factors influencing surface quality of sheet forming. The findings highlight the contribution of forming parameters and their combined interactions on surface roughness. Based on the empirical findings, this study derives implications for the optimization of tool type, parametric interactions among principal factors and their respective optimized operational range for incremental sheet forming.
EN
The use of form tools is growing in industry, owing to their inherent advantage of improving productivity. However, the accurate formation of form tool profile is a really tedious task. In this research work, wire electric discharge machining (WEDM) process has been used for the generation of a form tool. Pulse on-time, pulse off-time, servo voltage, wire tension, flushing pressure have been considered as input parameters, whereas tool geometry (clearance angle, included angle), surface roughness and material removal rate are the selected responses. Response surface methodology (RSM) (Box Bhenken experimental design) technique has been used for design of experiments. Analysis of Variance (ANOVA) has shown that pulse on-time and pulse off-time are the two influential control factors for material removal rate (MRR), surface roughness (Ra), clearance angle and included angle. Contour plot analysis has been performed to find out the optimal ranges of the most influential control factors for each response characteristics.
first rewind previous Strona / 1 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.