scholarly journals Lego-like technologies in manufacturing power distribution boxes for contemporary radar station

2018 ◽  
pp. 59-71
Author(s):  
T. O. Gogoberidze ◽  
V. I. Klassen ◽  
V. V. Kondratev ◽  
P. V. Novikov ◽  
P. A. Tushnov
Keyword(s):  
Systems Engineering ◽  
Power Distribution ◽  
Manufacturing Process ◽  
Labour Productivity ◽  
3D Modelling ◽  
Manufacturing Processes ◽  
New Approach ◽  
Radar Station ◽  
Promising Technology ◽  
System Components

The paper considers ways of increasing labour productivity in manufacturing radioelectronic system components. We used systems engineering methods to develop a new approach to describing manufacturing processes that makes it possible to reduce assembly duration. We present a promising technology for describing a manufacturing process in small-lot production using digital 3D modelling and a Lego -like approach to design building instructions for children's construction sets.

Energy Consumption in Discrete Part Production

2011 ◽  
Author(s):  
Devi K. Kalla ◽  
Samantha Corcoran ◽  
Janet Twomey ◽  
Michael Overcash
Keyword(s):  
Energy Consumption ◽  
Life Cycles ◽  
Manufacturing Processes ◽  
New Approach ◽  
Energy Data ◽  
Important Improvement ◽  
Drilling Unit ◽  
Cradle To Gate ◽  
Discrete Part ◽  
Manufacturing Machine

It is widely recognized that industrial production inevitably results in an environmental impact. Energy consumption during production is responsible for a part of this impact, but is often not provided in cradle-to-gate life cycles. Transparent description of the transformation of materials, parts, and chemicals into products is described herein as a means to improve the environmental profile of products and manufacturing machine. This paper focuses on manufacturing energy and chemicals/materials required at the machine level and provides a methodology to quantify the energy consumed and mass loss for simple products in a manufacturing setting. That energy data are then used to validate the new approach proposed by (Overcash et.al, 2009a, and 2009b) for drilling unit processes. The approach uses manufacturing unit processes as the basis for evaluating environmental impacts at the manufacturing phase of a product’s life cycle. Examining manufacturing processes at the machine level creates an important improvement in transparency which aids review and improvement analyses.

scholarly journals Metal Machining—Recent Advances, Applications, and Challenges

Metals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 580
Author(s):  
Francisco J. G. Silva
Keyword(s):  
Surface Finish ◽  
Manufacturing Process ◽  
Dimensional Accuracy ◽  
Machining Process ◽  
High Dimensional ◽  
Manufacturing Processes ◽  
Recent Advances ◽  
Metal Machining ◽  
Rapid Manufacture

Though new manufacturing processes that revolutionize the landscape regarding the rapid manufacture of parts have recently emerged, the machining process remains alive and up-to-date in this context, always presenting itself as a manufacturing process with several variants and allowing for high dimensional accuracy and high levels of surface finish [...]

Study on Geometric Tolerances Information in Integrated Manufacturing Processes

2010 ◽  
Vol 37-38 ◽  
pp. 1292-1295
Author(s):  
Yan Chao ◽  
Hai Feng Zhang ◽  
Li Qun Wu
Keyword(s):  
Life Cycle ◽  
Data Model ◽  
Manufacturing Process ◽  
Product Life Cycle ◽  
Critical Role ◽  
Manufacturing Processes ◽  
Product Life ◽  
Internet Technologies ◽  
Geometric Tolerance ◽  
Geometric Tolerances

Tolerance information plays a critical role in many steps of the product life cycle. It is especially important due to the advances in Internet technologies and increasing integration requirements from industry. In this paper, geometric tolerances information in manufacturing process (IMP) is studied, and the layered conformance level of geometric tolerances is established according to ASME Y14.5-1994, STEP and DMIS. An EXPRESS-G data model of geometric tolerance information in IMP is established. The XML language is used to represent and program the geometric tolerances information in IMP.

A Goal-Oriented, Inverse Decision-Based Design Method to Achieve the Vertical and Horizontal Integration of Models in a Hot Rod Rolling Process Chain

2017 ◽  
Author(s):  
Anand Balu Nellippallil ◽  
Vignesh Rangaraj ◽  
B. P. Gautham ◽  
Amarendra Kumar Singh ◽  
Janet K. Allen ◽  
...  
Keyword(s):  
Manufacturing Process ◽  
Design Method ◽  
Manufacturing Processes ◽  
Process Chain ◽  
Structure Property ◽  
Horizontal Integration ◽  
Design Exploration ◽  
Unit Operations ◽  
Manufacturing Process Chain ◽  
Decision Based Design

Reducing the manufacturing and marketing time of products by means of integrated simulation-based design and development of the material, product, and the associated manufacturing processes is the need of the hour for industry. This requires the design of materials to targeted performance goals through bottom-up and top-down modeling and simulation practices that enables handshakes between modelers and designers along the entire product realization process. Manufacturing a product involves a host of unit operations and the final properties of the manufactured product depends on the processing steps carried out at each of these unit operations. In order to effectively couple the material processing-structure-property-performance spaces, there needs to be an interplay of the systems-based design of materials with enhancement of models of various unit operations through multiscale modeling methodologies and integration of these models at different length scales (vertical integration). This ensures the flow of information from one unit operation to another thereby establishing the integration of manufacturing processes (horizontal integration). Together these types of integration will support the decision-based design of the manufacturing process chain so as to realize the end product. In this paper, we present a goal-oriented, inverse decision-based design method to achieve the vertical and horizontal integration of models for the hot rolling and cooling stages of the steel manufacturing process chain for the production of a rod with defined properties. The primary mathematical construct used for the method presented is the compromise Decision Support Problem (cDSP) supported by the proposed Concept Exploration Framework (CEF) to generate satisficing solutions under uncertainty. The efficacy of the method is illustrated by exploring the design space for the microstructure after cooling that satisfies the requirements identified by the end mechanical properties of the product. The design decisions made are then communicated in an inverse manner to carry out the design exploration of the cooling stage to identify the design set points for cooling that satisfies the new target microstructure requirements identified. Specific requirements such as managing the banded microstructure to minimize distortion in forged gear blanks are considered in the problem. The proposed method is generic and we plan to extend the work by carrying out the integrated decision-based design exploration of rolling and reheating stages that precede to realize the end product.

Neue Fertigungssteuerung in der Ingenieurkeramik*/New approach to manufacturing control in engineering ceramics

2015 ◽  
Vol 105 (03) ◽  
pp. 109-114
Author(s):  
U. Bracht ◽  
F. Arzberger ◽  
F. Schulenburg
Keyword(s):  
Lean Manufacturing ◽  
Lean Production ◽  
Control Unit ◽  
Manufacturing Processes ◽  
Small Companies ◽  
Complex Environment ◽  
New Approach ◽  
Manufacturing Control ◽  
Volume Production ◽  
Low Volume

Auch kleinere Unternehmen mit komplexen Herstellungsprozessen müssen heute in der Kleinserie die Effizienz und Geschwindigkeit in der Produktion erhöhen. Zentraler Bestandteil ist dabei eine schlanke Fertigungssteuerung in einem ganzheitlichen Produktionssystem. Der Fachbeitrag zeigt, wie auch bei hoher Komplexität wesentliche Ansätze der „Lean Production“ genutzt werden, um die Produktion von Ingenieurkeramiken durch die intelligente Vernetzung bereichsspezifischer Methoden zu optimieren.   Today, even small companies with complex manufacturing processes in low-volume production have to improve efficiency and speed in manufacturing. A core aspect is lean manufacturing control within an overall production system. This article shows how the main approaches of Lean Production can be applied even to a highly complex environment. The intelligent integration of specific methods for each control unit helps to enhance the production of ceramics.

VORDi*

2021 ◽  
Vol 12 (4) ◽  
pp. 0-0
Keyword(s):  
Cloud Computing ◽  
Information Systems ◽  
Requirements Engineering ◽  
Systems Engineering ◽  
Early Phase ◽  
Service Providers ◽  
Software As A Service ◽  
New Approach ◽  
Computing Services ◽  
Cloud Computing Services

Cloud computing services mature both economically and technologically and play a more and more extensive role in the domain of software and information systems engineering. SaaS offers advantage for both service providers and consumers. SaaS is faced with the question of appropriate techniques applying at early phase of Requirements engineering of producing system. The paper highlights two traditional methods namely i* and VORD belonging respectively to Goal oriented Requirements Engineering and Viewpoints approaches. The approach proposed try to dealing with the requirements elicitation in the context of Software-as-a-service SaaS. So, the approach benefits from strengths of both VORD and i* models and propose a combination of them in a new approach namely VORDi*.

Dynamic Quality Prediction of Manufacturing Process Based on Extreme Learning Machine

2014 ◽  
Vol 889-890 ◽  
pp. 1231-1235
Author(s):  
Jun Guo ◽  
Yi Bing Li ◽  
Bai Gang Du
Keyword(s):  
Extreme Learning Machine ◽  
Manufacturing Process ◽  
Manufacturing Processes ◽  
Manufacturing Cost ◽  
Quality Prediction ◽  
Proposed Model ◽  
Machine Learning Approach ◽  
Learning Machine ◽  
Dynamic Quality ◽  
Quality Categories

In many manufacturing processes, the abnormal changes of some key process parameters could result in various categories of faulty products. In this paper, a machine learning approach is developed for dynamic quality prediction of the manufacturing processes. In the proposed model, an extreme learning machine is developed for monitoring the manufacturing process and recognizing faulty quality categories of the products being produced. The proposed model is successfully applied to a japanning-line, which improves the product quality and saves manufacturing cost.

Systematic Process Selection in Mechanical Design

1996 ◽  
Author(s):  
Amal M. K. Esawi ◽  
Michael F. Ashby
Keyword(s):  
Manufacturing Process ◽  
Mechanical Design ◽  
Selection Procedure ◽  
Manufacturing Processes ◽  
Process Selection ◽  
Systematic Selection ◽  
Cost Penalty ◽  
The Right ◽  
The Cost ◽  
Manufacturing Process Selection

Abstract There has been a recent awareness of the importance of making the right manufacturing decisions early in the design process before the cost penalty of making changes becomes too high. The selection of the most appropriate manufacturing process — of which there are a very large number — is one such decision. It is commonly based on human-resident experience or on established local practice. As such, some potentially-usable processes may be overlooked. This paper explores ways in which process selection might be made more systematic. It presents a procedure for manufacturing process selection which considers all manufacturing processes and eliminates the ones which cannot satisfy the design requirements. This is achieved using Process Selection Charts in which process capabilities are displayed graphically. A procedure for the ranking of the successful processes based on cost is under development. The systematic selection procedure lends itself well to computer implementation. A database of manufacturing processes and an advanced user interface thus provide ideal support for designers. Cambridge Materials Selector (CMS) software is currently being applied to manufacturing process selection.

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