scholarly journals Design and Fabrication of Automatic Spring Type Chip Conveyor

It is necessary to use an efficient chip removal system to increase productivity on the shop floor. Conventional conveyor systems such as belt conveyors are being used in industries. The Belt conveyors used in the computer numerical control (CNC) machining firms, remove the metal chips falling from the machine. A machine shop is operated on a small scale certainly has limitations to adopt these chip removal systems economically and precisely. In order to simplify the process, decided to develop an efficient and economical solution for the chip removal process. The spring type chip conveyor is designed to overcome the problems faced while using a belt conveyor and also to remove the metal chips from the machine in a faster and cheaper rate.

2004 ◽  
Vol 471-472 ◽  
pp. 326-329
Author(s):  
Cheng Rui Zhang ◽  
Ri Liang Liu

STEP-NC is a new CAM/CNC interface and an extension of STEP into numerical control machining. It has been partly formed into draft international standard (ISO 14649) and is expected to replace ISO 6983 in the near future. In the first section of this paper, the STEP-NC data model is analyzed and those parts that are relevant to NC milling process are abstracted. Then issues involved in NC part machining based on STEP-NC paradigm are discussed including NC programming and the machine control. Based on the analysis, a prototype system is outlined and partly developed with libraries and software tools in ST-Developer environment to interpret the part program into internal data format and to assist the shop floor level planning. Finally the user interface of this system is introduced.


Author(s):  
Michael W. Martin ◽  
Cale T. Polkinghorne

Recent engineering education research has suggested that most engineering curricula does not promote attainment of many characteristics desired in practicing engineers [1][2]. One such characteristic is effective communication with workers in other disciplines. A method to attain improved communication is simulation of workplace situations in the educational environment [3][4]. In an effort to improve communication between trades and to foster a higher appreciation for the other field, a project simulating the working relationship between engineers and machinists was implemented via a joint semester project coupling a Computer Numerical Control (CNC) machining course and an engineering design course. A significant body of knowledge exists regarding multidisciplinary education for engineering students. Nearly all of the multidisciplinary projects involve one discipline of engineering working with another engineering discipline (i.e. mechanical engineering students working with electrical engineering students). The multidisciplinary work between different disciplines of engineering students has documented benefits; however, the two groups of students are on a similar communication level. By coupling junior and senior level bachelor degree-seeking engineering students with students primarily pursuing a 1 year CNC machining certificate, many communication barriers are encountered that are not seen in typical university multidisciplinary projects. The students from the engineering class were tasked with designing a simple assembly that performs a specified function. The engineering student was responsible for generating a complete set of manufacturing prints. Each engineering student was matched with a group of two or three CNC machining students, who were responsible for manufacturing the parts designed by the engineering student. This type of collaboration closely simulates the design engineer working with the manufacturing shop floor employee in determining how a part is best produced and taking the project to completion by manufacturing and assembly of that part. Data collection methods included student surveys and instructor observations. Primary student outcomes appeared to be; 1) an appreciation for the importance of communication and, 2) greater understanding of the complete process needed to produce a product. The primary difficulties the students encountered were due to communication issues and project management breakdowns. Efforts to address these issues and other lessons learned will be discussed.


Author(s):  
Mandeep Dhanda ◽  
Aman Kukreja ◽  
SS Pande

This paper reports a novel method to generate adaptive spiral tool path for the CNC machining of complex sculptured surface represented in the form of cloud of points without the need for surface fitting. The algorithm initially uses uniform 2 D circular mesh-grid to compute the cutter location (CL) points by applying the tool inverse offset method (IOM). These CL points are refined adaptively till the surface form errors converge below the prescribed tolerance limits in both circumferential and radial directions. They are further refined to eliminate the redundancy in machining and generate optimum region wise tool path to minimize the tool lifts. The NC part programs generated by our algorithm were widely tested for different case studies using the commercial CNC simulator as well as by the actual machining trial. Finally, a comparative study was done between our developed system and the commercial CAM software. The results showed that our system is more efficient and robust in terms of the obtained surface quality, productivity, and memory requirement.


Sensor Review ◽  
2017 ◽  
Vol 37 (1) ◽  
pp. 78-81 ◽  
Author(s):  
Srdjan Jovic ◽  
Obrad Anicic ◽  
Milivoje Jovanovic

Purpose Acoustic emission (AE) could be used for prevention and detection of tool errors in Computer Numerical Control (CNC) machining. The purpose of this study is to analyze the AE form of CNC machining operations. Design/methodology/approach Experimental measurements were performed with three sensors on the CNC lathe to collect the data of the CNC machining. Adaptive neuro-fuzzy inference system (ANFIS) was applied for the fusion from the sensors’ signals to determine the strength of the signal periodic component among the sensors. Findings There were three inputs, namely, spindle speed, feed rate and depth of cut. ANFIS was also used to determine the inputs’ influence on the prediction of strength of the signal periodic component. Variable selection process was used to select the most dominant factors which affect the prediction of strength of the signal periodic component. Originality/value Results were shown that the spindle speed has the most dominant effect on the strength of the signal periodic component.


Author(s):  
Pingyu Jiang ◽  
Wei Cao

As a key advanced manufacturing technology in next generation manufacturing systems, radio frequency identification (RFID) technology is considered to be one of the most promising technological innovations with the potential to increase visibility and improve efficiency. Therefore, research about RFID and its applications are increasing by blasting with all kinds of RFID models in various fields, especially in manufacturing. By introducing RFID technology into the job-shop floor, this paper proposes a systematic RFID-driven graphical formalized deduction model (rfid-GFDM) for describing the time-sensitive state and position changes of work-in-progress (WIP) material flows and guiding where to deploy RFID devices and how to use them for collecting real-time on-site data. Four steps including RFID configuration based on the process flow model, state blocks model, automatic event generation, and extended event-driven model are proposed one by one to support the implementation of rfid-GFDM. The nature of RFID technology is revealed, too. A use case about a computer numerical control (CNC) milling system is studied, and it demonstrates the feasibility of the proposed model. Finally, the possibility of popularizing the model to other field is discussed, too. It is expected to establish a normative RFID modeling method that will facilitate the convenience of RFID applications in a broad scope.


2019 ◽  
Vol 31 (1) ◽  
pp. 124-144 ◽  
Author(s):  
Danielle Strong ◽  
Michael Kay ◽  
Thomas Wakefield ◽  
Issariya Sirichakwal ◽  
Brett Conner ◽  
...  

Purpose Although the adoption of metal additive manufacturing (AM) for production has continuously grown, in-house access to production grade metal AM systems for small and medium enterprises (SMEs) is a major challenge due to costs of acquiring metal AM systems, specifically powder bed fusion AM. On the other hand, AM technology in directed energy deposition (DED) has been evolving in both: processing capabilities and adaptable configuration for integration within existing traditional machines that are available in most SME manufacturing facilities, e.g. computer numerical control (CNC) machining centers. Integrating DED with conventional processes such as machining and grinding into Hybrid AM is well suited for remanufacturing of metal parts. The paper aims to discuss these issues. Design/methodology/approach Classical facility location models are employed to understand the effects of SMEs adopting DED systems to offer remanufacturing services. This study identifies strategically located counties in the USA to advance hybrid AM for reverse logistics using North American Industry Classification System (NAICS) data on geographical data, demand, fixed and transportation costs. A case study is also implemented to explore its implications on remanufacturing of high-value parts on the reverse logistics supply chain using an aerospace part and NAICS data on aircraft maintenance, repair and overhaul facilities. Findings The results identify the candidate counties, their allocations, allocated demand and total costs. Offering AM remanufacturing services to traditional manufacturers decreases costs for SMEs in the supply chain by minimizing expensive new part replacement. The hubs also benefit from hybrid AM to repair their own parts and tools. Originality/value This research provides a unique analysis on reverse logistics through hybrid AM focused on remanufacturing rather than manufacturing. Facility location using real data is used to obtain results and offers insights into integrating AM for often overlooked aspect of remanufacturing. The study shows that SMEs can participate in the evolving AM economy through remanufacturing services using significantly lower investment costs.


2015 ◽  
Vol 6 (1) ◽  
pp. 73-88 ◽  
Author(s):  
Shaman Gupta ◽  
Sanjiv Kumar Jain

Purpose – The purpose of this paper is to use the 5S tool to assist a small-scale manufacturing organization to become more productive and more efficient. Design/methodology/approach – A simple approach has been adopted to create the teams for implementing 5S. Cause-and-effect diagram has been studied for shop floor analysis. Later, four data collection methods have been used to ensure right implementation of the 5S. Findings – In the frames of this case study, it has been analyzed that implementation of “5S” resulted in overall improvement of the organization. With the implementation of “5S”, major benefits in the form of tool searching time have been achieved. Tool searching time from shop floor has been reduced from 30 minutes to 5 minutes. “5S” audit has been conducted in the organization. “5S” audit score has been increased from 7 (Week 1) to 55 (Week 20). Practical implications – 5S is a powerful tool and can be implemented in various industries whether micro, small, medium or large. Implementation of 5S has large horizontal development and can be implemented in all the workstations of an organization. Originality/value – The publications and case study presented in this paper will be useful to researchers, professionals and others concerned with this subject to understand the significance of 5S.


2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Sunil Kumar ◽  
Ashwani Kumar Dhingra ◽  
Bhim Singh

In the era of cut throat competitive market, Indian industries are under tremendous pressure to continuously reduce the cost and improve product quality. The main objective of this research paper is to provide a road map for investigating the opportunities to reduce cost and improve productivity and quality in the existing production system through the application of Lean-Kaizen concept using value stream mapping (VSM) tool at shop floor of an Indian Small-Scale Enterprise (SSE). On the basis of collected data from the selected industry, a current state map was made. After analysis, the current state map was modified to develop a future state map. By comparing current and future state map, the gap areas were identified and takt time (TT) was calculated considering actual market demand. To overcome the gap between current state map and future state map and to synchronize cycle time of each station with talk time, Kaizen event (KE) was proposed. Fuzzy technology for order preference by similarity to ideal solution (TOPSIS) was applied to prioritize and select the appropriate KE for optimized performance level. After analysis of data obtained after application of the Lean-Kaizen concept, the final improvements in terms of improved productivity (57.15%) and reduced lead time (69.47%), reduced cost (65.61%), and station cycle time (75.25%) were recorded. Through the case study drawn from realistic situations of the industry, the authors highlight that implementation of Lean-Kaizen using VSM and fuzzy TOPSIS provides improvement opportunities across the organization. The findings can inspire the SSEs to adopt the Lean-Kaizen concept for optimizing continuous improvement opportunities in their production industry. This study offers the researchers and practitioners a good example for understanding, selecting, and performing KE program. They can even attain more improvement in various areas by establishing or improving these KE programs.


Author(s):  
Daniel F. Walczyk ◽  
Seungryeol Yoo

Profiled Edge Laminae (PEL) tooling is a thick-layer Rapid Tooling (RT) method that was developed a decade ago. Even with demonstrable advantages for large-scale tool applications over conventional CNC-machining of a solid billet and other commercially available RT methods, PEL tooling has not seen widespread use by industry because prior research related to laminated tooling has (1) focused on small-scale tools and perpendicular laser-cutting that required extensive surface finishing, and (2) there is no integrated and practical design and fabrication approach to tooling development. This paper describes a more streamlined and integrated approach to PEL tooling development, called the PEL Process, that builds upon prior work in this area. Critical components of the process that are described in detail include how to obtain lamina slicing information directly from a CAD model of the intended tool surface, how to measure dimensional errors between the PEL and CAD tool surfaces, and improved Abrasive Waterjet cutting trajectory and laminae slicing algorithms. The PEL Process is then demonstrated for the design and fabrication of aluminum PEL tooling used for hydroforming aircraft sheet metal components.


2020 ◽  
Vol 10 (17) ◽  
pp. 5935
Author(s):  
Lorenzo Baietta ◽  
Mamdouh Alshammari ◽  
Apostolos Pesyridis ◽  
Dhrumil Gohil

This paper describes and discusses the development of an axial turbocharger turbine concept as a potential substitute to commercial radial turbines for high-volume production. As turbo-lag is one of the main issues related to the inertia of the rotating parts in a turbocharger, leading to less responsive and drive-cycle efficient power units, the use of axial turbines, with their inherently lower inertia than radial types for the same application, enables the efficient reduction of the spool-up time of the system, to the benefit of the driving experience and emissions. However, axial turbines for this application usually show complicated blades and level of twist, leading to efficient but expensive designs compared to their radial counterparts. Based on this challenge, the idea of comparing prismatic (generally less efficient, but cheaper) and twisted 3D-bladed axial turbines showed that for lower blade aspect ratios, the efficiency is of the same order. For these reasons, many turbines with a range of different sizes were designed with both layouts (3D and prismatic blades) and compared. Further, the use of 3D optical scanning, as well as dyno-calibrated 1D engine models enabled the gathering of invaluable data to design the proposed solution and compare it to the Original Equipment Manufacturer (OEM) version. Thanks to these processes, the comparison between the proposed design and the OEM one was not limited to the performance, and also included the manufacturing costs, which were calculated via Computer Aided Manufacturing (CAM) programs, with the limitation of using only Computer Numerical Control (CNC) machining for production. To conclude, the work showed a notable performance superiority of the proposed turbine in respect to the OEM one, despite a slightly higher estimated production cost.


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