On Sustainability Assesment of Machining Processes

Author(s):  
Syed Waqar Raza ◽  
Ibrahim Mostafa Deiab

There is an increased interest in sustainability assessment of manufacturing systems and processes because of the growing global interest in sustainable manufacturing practices. The current sustainability assessment models present a holistic approach, e.g. LCA, without much focus on process specific details. This paper uses a ‘XSI’ approach for defining sustainability indices (e.g. Energy Sustainability Index, ESI). These sustainability metrics can quantify machining processes in terms of impact on the environment and power consumption in a flexible manner, so that various material removal processes can be rated on a uniform scale. In addition, the concept of Normalization, with respect to the ‘feature-of-interest’ is introduced, thus presenting a flexible rating system in terms of process types (turning, milling etc.) and perspectives (material removal, quality etc.). A user-friendly calculator is developed, which converts a set of inputs for the machining scenario into a set of measurable rating quantities and indices including but not limited to production rate, production cost, tool life/cost, energy consumption and environmental burden. This will enable the manufacturing engineer to make an informed decision about parameter selection and process design for sustainability. Machining of hard-to-machine materials such as Titanium Alloys is such a scenario, which is used as a case study to validate the proposed approach.

2018 ◽  
Vol 10 (11) ◽  
pp. 4121 ◽  
Author(s):  
Anastasiia Moldavska ◽  
Torgeir Welo

This paper aims at answering the question of how to design a theoretically sound corporate sustainability assessment (CSA) method that can strengthen the ability of manufacturing companies to contribute to global sustainable development (SD). In our effort to answer this question, we conduct a case study to test a newly designed CSA method to develop assessment tools for each of four different case companies. The method combines criteria-based indicators development with qualitative system dynamics modeling based on mental models of decision-makers. This strategy ensures a holistic approach to what corporate sustainability and sustainable manufacturing are. The paper is intended to serve, first of all, as a practical guide to the development of CSA tools. The scientific value of the method is discussed in terms of how it assists in the development of a tool that provides the potential to overcome shortcomings of existing approaches to sustainability assessment and to embrace the complexity of the sustainability concept. From the case study results, we demonstrate the capability of the new method by showing how it satisfies scientific requirements to sustainability assessment and fulfills functions of CSA. We also show how it may overcome some of the observed limitations of existing CSA tools.


Author(s):  
Khalid Mustafa ◽  
Kai Cheng

Increasing manufacturing complexity continues to be one of the most significant challenges facing the manufacturing industry today. Due to these rapid changes in manufacturing systems, one of the most important factors affecting production is recognized as the frequent production setup or changeovers, consequently affecting the overall production lead times and competitiveness of the company. Developing responsive production setup and process capability is increasingly important as product ranges and varieties in manufacturing companies are growing rapidly and, at the same time, production business models are operating more towards being customer-oriented. Furthermore, although different conventional methods have been used to manage complexity in production changeovers, sustainability and competitiveness development in a manufacturing company needs to be scientifically addressed by managing manufacturing complexity. In this paper, a sustainable manufacturing-oriented approach is presented in mind of managing manufacturing changeover complexities. A case study is carried out specifically concerning changeover complexity in a pharmaceutical company, aiming at minimizing complexities in production changeover and waste, increasing plant flexibility and productivity, and ultimately the sustainable competitiveness of the company in managing manufacturing changes.


2013 ◽  
Vol 845 ◽  
pp. 786-789 ◽  
Author(s):  
Rusdi Nur ◽  
M.Y. Noordin ◽  
S. Izman ◽  
Denni Kurniawan

Minimizing the power demand through machining of aluminum alloy can significantly develop the environmental performance of manufacturing systems. To accomplish this, calculation of power demand in turning processes is necessary. This paper presents the calculation of power demand based on cutting force and material removal rate, taking case study on machining of Al-11%Si alloy at various cutting speeds and feeds. The results showed that both approaches can calculate power demand with similar results. The power demand for the particular turning process was found to be proportional to feed and cutting speed.


Author(s):  
Michele Germani ◽  
Marco Mandolini ◽  
Marco Marconi ◽  
Marco Mengarelli

A growing interest toward sustainability actions at every level is characterizing the industrial sector. Following the environmental trend, further developments and improvements regarding the sustainability assessment of manufacturing processes is needed. With a particular focus on machining processes, the optimization of working parameters can represent a valid step forward in sustainable manufacturing. This paper aims to provide companies with the needed tool to independently asses the environmental performance of their customized machining operations. The purpose of the presented work is then to demonstrate that energy consumption calculated with empirical mathematical models available in literature, gives the greatest contribution to the environmental impact for a selection of machining processes by means of Life Cycle Assessment (LCA). Such objective lead to a clear need of specific models for the calculation of environmental impact of machining processes instead of available LCA datasets. Available mathematical models are adopted to provide a realistic energy consumption profile by using processing time variables. Such values are calculated through 3D models whose are used to recognize the needed manufacturing operations together with relative processing times. In order to validate the previous assumption, a couple of machining processes have been selected as reference and analyzed by setting up a detailed Life Cycle Inventory (LCI) model. Results shown that among the different inputs and outputs, the energy consumption carries the highest impact. Over 90% of the total impact for the chosen impact categories (Global Warming Potential and Eco-Costs) is attributable to the energy consumption meaning that, for the sake of simplification, the environmental profile of such operations is overlapped by its energy consumption.


2014 ◽  
Vol 554 ◽  
pp. 546-550 ◽  
Author(s):  
Lee Guang Beng ◽  
Badrul Omar

Despite being a manufacturing technique that consumes energy and material, machining is often regarded as an important process due to the fact that it is flexible and is able to produce economic parts. However, to gain more cost-saving and enhanced environmental performance, sustainability principles have to be incorporated into machining technologies. This paper presents a case study that applies both crisp and fuzzy axiomatic design approach to construct a hybrid model with the purpose of facilitating the selection of sustainable manufacturing process. By converting numerical terms and linguistic factors into quantifiable score (in the form of information content), the proposed approach is able to produce indicative results and is capable of identifying the most sustainable process among three alternatives. Potentially, such information can be helpful for product development companies which strive to achieve sustainable product realization.


2021 ◽  
Vol 13 (8) ◽  
pp. 4271
Author(s):  
Ali Bastas

Meeting current needs while not sacrificing the future ability to do so as a key sustainability concept is becoming more challenging than ever, with the increasing population rate, energy poverty, global warming, and surging demand for products and services. Manufacturing is in a prime position to address this challenge, with its significant economic contribution to the global GDP and its high influence over the environment and humanity. Sustainable manufacturing technologies research is growing to support our journey towards sustainable development. This article undertook the systematic review of state-of-the-art sustainable manufacturing technologies literature, evidencing the latest themes and trends in this important research avenue. Descriptive and thematic analyses were performed, synthesising the latest advancements in the field. Sustainable manufacturing processes, especially sustainable machining, was established as a key theme, including research endeavours of elimination of lubricants. Various manufacturing systems and process sustainability assessment technologies were noted. Sustainability indicators addressed were critically evaluated. As an outcome, a conceptual framework of sustainable manufacturing technology research was constructed to structure the knowledge acquired and to provoke future thinking. Finally, challenges and future directions were provided for both industrial and academic reader base, stimulating growth in this fruitful research stream.


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