Journal articles: 'Manufacturing process of hole-making'

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Bajpai, Pramendra Kumar, Kishore Debnath, and Inderdeep Singh. "Hole making in natural fiber-reinforced polylactic acid laminates." Journal of Thermoplastic Composite Materials 30, no. 1 (August 5, 2016): 30–46. http://dx.doi.org/10.1177/0892705715575094.

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Natural fiber-reinforced composite materials are finding wide acceptability in various engineering applications. A substantial increase in the volume of production of these composites necessitates high-quality cost-effective manufacturing. Drilling of holes is an important machining operation required to ascertain the assembly operations of intricate composite products. In the present experimental investigation, natural fiber (sisal and Grewia optiva fiber)-reinforced polylactic acid-based green composite laminates were developed using hot compression through film stacking method. The drilling behavior of green composite laminates was evaluated in terms of drilling forces (thrust force and torque) and drilling-induced damage. The cutting speed, feed rate, and the drill geometry were taken as the input process parameters. It was concluded that all the three input process parameters affect the drilling behavior of green composite laminates. The drill geometry was established as an important input parameter that affects the drilling forces and subsequently the drilling-induced damage.

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Liu, Xiaojun, Yi Hong, Ni Zhonghua, Qi Jianchang, and Qiu Xiaoli. "Process planning optimization of hole-making operations using ant colony algorithm." International Journal of Advanced Manufacturing Technology 69, no. 1-4 (May 29, 2013): 753–69. http://dx.doi.org/10.1007/s00170-013-5067-x.

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Mishra, Dileep Kumar, ▪. Rahul, Saurav Datta, Manoj Masanta, and Siba Sankar Mahapatra. "Through hole making by electro-discharge machining on Inconel 625 super alloy using hollow copper tool electrode." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 233, no. 2 (June 27, 2018): 348–70. http://dx.doi.org/10.1177/0954408918784701.

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A case experimental research on through hole making process on Inconel 625 super alloy by using hollow (tubular) copper tool electrode in electro-discharge machining has been delineated herein. Based on three controllable process variables namely peak discharge current, pulse-on duration, and gap voltage, experiments on through hole making have been carried out following the electro-discharge machining route (die-sinking electro-discharge machining without flushing). In addition to surface morphology, topographical features of the electro-discharge machined work surface have been examined for both internal cylindrical surface of the hole produced and also the external peripheral surface of the removed cylindrical part. The influence of the process parameters have been analyzed on various process performance features like material removal rate, surface roughness, surface crack density, white layer thickness, circularity, radial overcut, and hole taper. An optimal parameter setting has been identified for sound hole making and thereby to improve electro-discharge machining performance. Additionally, energy-dispersive X-ray spectroscopic analysis has been carried out to investigate the extent of carbon enrichment onto the electro-discharge machined work surface of Inconel 625 as affected by the pyrolysis of the dielectric fluid whilst executing electro-discharge machining operation. X-ray diffraction tests have been carried out to compare metallurgy of the electro-discharge machined work surface (various phases/precipitates present in bulk of the matrix material, extent of grain refinement, crystallite size, strain, and dislocation density) with respect to that of “as received” Inconel 625. Results, thus obtained, have also been compared to that of the micro-hardness test data.

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Qiao, Li Hong, Shu Ting Kao, and Yi Xin Zhu. "Manufacturing Process Specification and Collaborative Decision-Making." Applied Mechanics and Materials 251 (December 2012): 79–83. http://dx.doi.org/10.4028/www.scientific.net/amm.251.79.

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A majority of information in manufacturing is the process information which presents mobility. Such information reflects transforming process form materials to products. This research establishes a manufacturing process information model that presents uniqueness, validness, completeness and generality based in PSL. The model can provide necessary process information and related product, material and resource information required by systems for integrating and collaborative decision making. It then enables to build a collaborative manufacturing decision making process model which is capable of utilizing the process information model. By defining logic procedure, data wrapping and service invoking in the decision making process model, multi-manufacturing systems collaborative decision making will be implemented. Such method of manufacturing process information modeling and decision making process modeling is illustrated by examples of the collaborative creation of a part process plan and an assembly process plan considering actual manufacturing environment.

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Luong, L. H. S., and T. Spedding. "An integrated system for process planning and cost estimation in hole making." International Journal of Advanced Manufacturing Technology 10, no. 6 (November 1995): 411–15. http://dx.doi.org/10.1007/bf01179405.

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Porwal, Rajesh Kumar, Vinod Yadava, and J. Ramkumar. "Micro Electrical Discharge Machining of Micro-Hole." Advanced Science, Engineering and Medicine 12, no. 11 (November 1, 2020): 1335–39. http://dx.doi.org/10.1166/asem.2020.2586.

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Advancements in micro-fabrication are characterized by a progressive miniaturization leading towards higher integration. The fabrication of particular size micro hole in difficile to machine engineering materials is one of the most challenging tasks in manufacturing industry. Since micro holes are prepared in the end product therefore the rejection of product due to poor hole quality is not acceptable in modern manufacturing industries. Micro electrical discharge machining has become one of the most promising methods for creating micro features or micro components of any electrical conducting engineering materials in spite of its hardness. The material extraction mechanism in micro electrical discharge machining is due to plasma creation, heat deportation, superheating of both the electrodes and expulsion of material is in the form of debris particles by dielectric fluid during pulse-off time. The micro feature such as micro hole created by micro electrical discharge machining process is useful in industries ranging from automobile to biomedical. In order to improve process efficiency researchers across the globe worked on micro electrical discharge machining Setup development, micro electrical discharge machining of different materials and shapes in general and hole making in particular, and also analyzes different factor that affect process performance. Present paper summarizes research work carried out related to experimentation, modeling and optimization of sinking and drilling micro electrical discharge machining of different materials.

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Li, Shi Peng, Li Cheng Tian, Xu Da Qin, and Shuai Shang. "The Cutting Parameter Optimization in Helical Milling of Ti Alloys with Small Diameter Tools and the Study of their Cutting Performance." Key Engineering Materials 764 (February 2018): 342–50. http://dx.doi.org/10.4028/www.scientific.net/kem.764.342.

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Titanium alloys are widely used in modern aircraft manufacturing. The hole-making technology with high quality becomes a crucial aspect of aircraft assembly. Helical milling process has drawn much attention due to its high machining quality and efficiency. In this work, the cutting performance of small diameter tools (3mm) in helical milling Ti alloy is studied. The parameters of spindle speed, tangential feed speed and pitch (axial feed per revolution) are optimized to reduce cutting force and processing time. The evolutions of the cutting force, burr size, hole side wall roughness and diameter with increasing hole number are investigated. Results show that burr size and hole side wall roughness are much lower than the requirement of aircraft assembly under the optimized parameters of 7000r/min (spindle speeds), 0.1mm (pitch), 0.02mm/tooth (tangential feed). Due to the poor stiffness and large deflection of small diameter tools, excessive hole diameter error is the most prominent problem to be concerned in helical milling process.

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Akula, Sneharika, Sadvidya N. Nayak, Gururaj Bolar, and Vishwanath Managuli. "Comparison of conventional drilling and helical milling for hole making in Ti6Al4V titanium alloy under sustainable dry condition." Manufacturing Review 8 (2021): 12. http://dx.doi.org/10.1051/mfreview/2021010.

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Hole drilling in Ti6Al4V titanium alloy is challenging due to its poor machinability resulting from high-temperature strength and low thermal conductivity. Therefore, an evaluation of the helical milling process is carried out by comparing the thrust force, surface roughness, machining temperature, burr size, and hole diametrical accuracy with the conventional drilling process. The results indicate the advantage of the helical milling in terms of the lower magnitude of thrust force. The holes generated using helical milling displayed a superior surface finish at lower axial feed conditions, while higher axial feed conditions result in chatter due to the tool deformation. Also, the absence of a heat-affected zone (HAZ) under dry helical milling conditions indicates the work surface formation without thermal damage. Besides, a significant reduction in the size of the burrs is noted during helical milling due to lower machining temperature. Analysis of the hole diameter reinforces the capability of the helical milling process for processing H7 quality holes. Consequently, helical milling can be considered a sustainable alternative to mechanical drilling, considering its ability to machine quality holes under dry machining conditions.

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Zhang, Peng, Xing Yu Guo, and Cheng Ge Wu. "Research of Micro Hole Vibration Drilling Process and Experiment." Materials Science Forum 697-698 (September 2011): 161–65. http://dx.doi.org/10.4028/www.scientific.net/msf.697-698.161.

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It is always the difficulties for micro hole machining in the machine manufacturing industry, even more in the defense industry. The vibration drilling new craft, with the incomparable advantages in micro hole drilling, is different from the common one. The precision NC micro hole vibration drilling machine is developed, and the micro hole drilling experiments are conducted. The vibration drilling can not only improve the drill life more than ten times compared with the normal one, but also improve the centering ability and position precision.

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Gómez-Gras, Giovanni, Marco A. Pérez, Jorge Fábregas-Moreno, and Guillermo Reyes-Pozo. "Experimental study on the accuracy and surface quality of printed versus machined holes in PEI Ultem 9085 FDM specimens." Rapid Prototyping Journal 27, no. 11 (January 7, 2021): 1–12. http://dx.doi.org/10.1108/rpj-12-2019-0306.

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Purpose This paper aims to investigate the quality of printed surfaces and manufacturing tolerances by comparing the cylindrical cavities machined in parts obtained by fused deposition modeling (FDM) with the holes manufactured during the printing process itself. The comparison focuses on the results of roughness and tolerances, intending to obtain practical references when making assemblies. Design/methodology/approach The experimental approach focuses on the comparison of the results of roughness and tolerances of two manufacturing strategies: geometric volumes with a through-hole and the through-hole machined in volumes that were initially printed without the hole. Throughout the study, both alternates are explained to make appropriate recommendations. Findings The study shows the best combinations of technological parameters, both machining and three-dimensional printing, which have been decisive for obtaining successful results. These conclusive results allow enunciating recommendations for use in the industrial environment. Originality/value This paper fulfills an identified need to study the dimensional accuracy of the geometries obtained by additive manufacturing, as no experimental evidence has been found of studies that directly address the problem of the FDM-printed part with geometric and dimensional tolerances and desirable surface quality for assembly.

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Qiao, Hong, Philip Moore, and Jeff Knight. "A model and strategy analysis of the peg-hole system in the search process associated with robotic assembly operations without chamfers." Robotica 14, no. 6 (November 1996): 647–58. http://dx.doi.org/10.1017/s0263574700018518.

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Robotic peg-hole insertion operations can play a very important role in manufacturing industry because it is a common requirement in the manufacturing process and, it requires high precision and high speed.In general, this operation can be divided into two processes: Search process to engage the peg and the hole and, insertion process.The search process is critical in the assembly operation. It can be defined as a process where the angular.and the translational errors between the peg and the hole are reduced until insertion can occur.

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Yang, Jian Dong, Chuang Liu, and Hui Yan. "Lapping Tool Wearing Uniformly in Machining Blind Hole of Workpiece in Manufacturing System." Applied Mechanics and Materials 252 (December 2012): 310–14. http://dx.doi.org/10.4028/www.scientific.net/amm.252.310.

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This paper proposes a new method of controlling abrasives density distribution on the machining surface of a lapping tool making full use of controllability of abrasives density distribution in solid abrasive lapping, based on the present actual problems in solid abrasive lapping blind holes in manufacturing process. This method makes the abrasives density distribution on the lapping tool surface fit the wear intensity distribution of lapping tool, which makes the lapping tool wear uniformly in this manufacturing process, does not lose its original surface accuracy, ensures shape accuracy of the machined holes of the workpiece, also avoids the trouble of dressing lapping tools, reduces auxiliary machining time, improves machining efficiencies, reduces the consumption of abrasives and reduces machining costs of the manufacturing process.

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Pandya, Parth, Vaibhav Shah, Ahamed H. M. S. Parvezsh, and Prakash R. Apte. "Minimization of Ovality of Circular Holes in Drilling Process." Applied Mechanics and Materials 799-800 (October 2015): 393–96. http://dx.doi.org/10.4028/www.scientific.net/amm.799-800.393.

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In drilling and boring process, the relief in clamping stress causes deformations that cause variations in the geometry of the drilled hole. In automobile industry, when such holes are used to hold gear systems or rods in place, this variation in geometry leads to poor fitting and subsequent failure. To avoid this, high level accuracy is required which is both expensive and time-consuming. Therefore, a high percentage of such drilled parts are rejected in industry. The present paper addresses this problem by characterizing the variations in hole geometry as a function of clamping force, hole diameter, hole eccentricity (distance of hole-center from center of drilled face) and angular position of hole with respect to clamp location. The analysis result quantifies the comparative effect of each aforementioned factor on hole geometry variation. Taguchi Method based Design of Experiments using L25 orthogonal array has been used for performing the parametric design to arrive at the best settings of the 4 parameters. The optimal settings minimize ovality and displacement of the hole-center, and thus increase hole-fitting and its reliability against manufacturing variability.

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Jiao, Anyuan, Guofu Zhang, Binghong Liu, and Weijun Liu. "Prediction of Manufacturing Quality of Holes Based on a BP Neural Network." Applied Sciences 10, no. 6 (March 20, 2020): 2108. http://dx.doi.org/10.3390/app10062108.

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In order to improve the manufacturing quality of holes (Φ3–Φ8 mm) and to optimize the hole drilling process in T300 carbon fiber-reinforced plastic (CFRP) and 7050-T7 Al alloy stacks, a prediction model of multiple objective parameter optimization was proposed based on a back propagation (BP) neural network algorithm. Four parameters of feed rate, spindle speed, drilling diameter, and cushion plate were taken as the input layer parameters to study the manufacturing quality of holes in four stack types: CFRP/Al, Al/CFRP, Al/CFRP/Al, and CFRP/Al/CFRP. Delamination and tearing defects often appear in the drilling process; thus, a certain degree of defects in CFRP was selected as the output parameter, in an effort to build a prediction model of drilling quality. After the neural network model of the optimized hole-making process of an 8–14–1 three-layer topology was corrected by 170 steps, the error was reduced to 0.00016882, the regression fitting was 0.99978, and the fitting error of training samples was 10−2~10−5. The prediction model of the number of defective holes provided basically similar results to the experimental data. This indicates that the prediction model based on a BP neural network has good prediction ability. Based on the prediction of parameters, verification tests were performed, and the number of defective holes in CFRP was reduced while the manufacturing quality of the holes was improved significantly; the qualified rate of manufactured holes reached 97%.

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Liu, Juan. "Looking Green Manufacturing Processes in the Machinery Manufacturing." Advanced Materials Research 503-504 (April 2012): 111–14. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.111.

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In this paper, there are many system analysis and Summary about the green manufacturing processes, the development of profiles in machinery manufacturing, and prospects about the future research of the green manufacturing process.In real terms, green manufacturing processes in the mechanical manufacturing process is a series of decision-making process, which is important about the clear decision-making objectives of this paper, based on existing research of green manufacturing, this paper summed up the target system and decision-making model of the green manufacturing processes in the machinery.The exact division of the decision-making goal and the proper establishment of the decision model has important implications for the future of green manufacturing.

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Ahn, Il Hyuk, Seung Ki Moon, and Guijun Bi. "Hole design quality identification in laser aided additive manufacturing." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, no. 5 (July 2, 2016): 909–17. http://dx.doi.org/10.1177/0954405416657584.

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According to the increasing needs of three-dimensional printing technologies to satisfy high-level requirements, customization, and complicity, the quality of three-dimensional printed part becomes an important issue due to the layer-wise nature of additive manufacturing process. The objective of this study is to propose a methodology to identify the quality of three-dimensional printed parts with circular holes in the laser aided additive manufacturing process. We utilize a response surface methodology to represent the relationship between input variables (chord height tolerance and diameter of a hole) and response (geometric error) for evaluating the geometric accuracy of the three-dimensional printed parts with the diameter of holes. From the calculated response surface methodology, we conclude that the proposed methodology can be utilized as a process design guide to guarantee the quality of a part printed from the laser aided additive manufacturing process. The efficiency and limitations of the proposed methodology are verified by conducting a case study.

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Tenno, R., K. Kantola, and A. Tenno. "Electroless nickel plating process model for plated-through-hole board manufacturing." Journal of Electronic Materials 35, no. 10 (October 2006): 1825–36. http://dx.doi.org/10.1007/s11664-006-0164-3.

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Karunakaran, K. P., A. Sreenathbabu, and V. Pushpa. "Hybrid layered manufacturing: Direct rapid metal tool-making process." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 218, no. 12 (December 2004): 1657–65. http://dx.doi.org/10.1177/095440540421801202.

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Liu, Sinan, Tao Yang, Chang Liu, and Yu Du. "Comprehensive investigation of cutting mechanisms and hole quality in dry drilling woven aramid fibre–reinforced plastic with typical tools." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 233, no. 14 (April 24, 2019): 2471–91. http://dx.doi.org/10.1177/0954405419844855.

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Due to high specific strength and strong toughness, aramid fibre–reinforced plastics have been widely used in the aircraft, military, and automobile industries. However, in the hole-making process, these excellent properties make aramid fibre–reinforced plastics difficult to machine and prone to severe entrance and exit damages. In this article, the cutting mechanisms of three typical tools (twist drill, burr tool, and brad drill) are thoroughly investigated during dry drilling of aramid fibre–reinforced plastic. On this basis, systematic experiments are conducted to evaluate the cutting performance and hole quality. At the hole entrance, the cutting edges of the twist drill peel and tear the uncut material, which results in severe fuzzing damage. Due to the radial rake angles of the burr tool and brad drill, the radial component of the cutting force can pre-tension aramid fibres prior to being cut, which effectively reduces the fuzzing defect. At the hole exit, the extrusion action of the chisel edge and the severe chip adherence are the main causes of exit damage for the twist drill and burr tool, respectively. Due to the decrease in the thrust force and improvement in the shearing action, the best hole quality is achieved by the brad drill. To further improve the hole quality, an auxiliary approach using collars is introduced to effectively restrain the damage by enhancing interfacial bonding strength. This article provides comprehensive and available information on tool performance for drilling aramid fibre–reinforced plastics, which can help guide process optimizations to achieve the desired hole quality.

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Kirschner, Marko, Markus Heilmann, and Dirk Biermann. "Process Combination for the Manufacturing of Deep Holes with Small Diameters." Advanced Materials Research 907 (April 2014): 265–75. http://dx.doi.org/10.4028/www.scientific.net/amr.907.265.

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The industrial relevance of bore holes with small diameters and high length-to-diameter ratios rises with the growing requirements on parts and the tendency of components toward downsizing. Examples are components for medical and biomedical products or fuel injection in the automotive industry. An adapted process design is necessary for the production of deep holes with very small diameters, especially when the conditions at the beginning of the deep hole drilling process are unfavorable. In these applications, a hybrid process consisting of a laser pre-drilling and a single-lip deep hole drilling can shorten the process chain in machining components with non-planar surfaces, or can reduce tool wear in machining case-hardened materials. In this research, the combination of laser and single-lip drilling processes was realized and investigated for the very first time. In addition, results for the machining of workpieces with non-planar surfaces are presented.

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Kurosaki, Y., T. Mizukusa, and Y. Miyake. "A Simple Piercing Process Applicable to Brittle Materials." Journal of Engineering for Industry 112, no. 2 (May 1, 1990): 155–60. http://dx.doi.org/10.1115/1.2899559.

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Piercing of brittle sheets, which is difficult to achieve by conventional shearing or drilling, is achieved using a new manufacturing process utilizing the impact compression of a viscoplastic pressure medium, recently proposed by the authors. The impact pressure is analyzed with a linear viscoelastic model to determine optimum working conditions. Under a specific condition the process is shown to be successful in piercing a circular hole through various brittle materials; for example, inorganic glasses, glassy-carbon carbon composite and alumina ceramic sheets. The hole formation process in a glass sheet is examined experimentally and theoretically.

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Ricardo, Angel R., Israel F. Benítez, Guillermo González, and José R. Nuñez. "Multi-agent system for steel manufacturing process." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 3 (June 1, 2022): 2441. http://dx.doi.org/10.11591/ijece.v12i3.pp2441-2453.

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<span>This work was carried out in the company ACINOX Las Tunas, Cuba, to design an integrated automation architecture based on intelligent agents for control, monitoring, and decision-making in the production process that guarantees an improvement in planning and management of the process in the steelwork plant. The great differences of technologies and systems of each steel mill and the multiple restrictions, methods, and techniques, within a wide dynamic strongly concatenated, do not generalize automation systems feasibly. In our research, we use international research results and the experience of the plant technologists to create three levels of distributed intelligent architecture: business, production planning-control, and steel manufacturing. Each level manages to integrate and balance the particular and general interests for efficient decision-making combined between hierarchy and heterarchy in this steelwork plant, which will be reflected in a reduction of at least 99% of the time used for decision-making concerning the current system, which can lead to a decrease in refractory costs, energy consumption, and production cost. The effectiveness of the solution is demonstrated with scenario validation and expert evaluation.</span>

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Zaman, Uzair Khaleeq uz, Mickael Rivette, Ali Siadat, and Seyed Meysam Mousavi. "Integrated product-process design: Material and manufacturing process selection for additive manufacturing using multi-criteria decision making." Robotics and Computer-Integrated Manufacturing 51 (June 2018): 169–80. http://dx.doi.org/10.1016/j.rcim.2017.12.005.

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Farooq, Sami, and Chris O'Brien. "Risk calculations in the manufacturing technology selection process." Journal of Manufacturing Technology Management 21, no. 1 (December 22, 2009): 28–49. http://dx.doi.org/10.1108/17410381011011470.

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PurposeThe purpose of this paper is to present result obtained from a developed technology selection framework and provide a detailed insight into the risk calculations and their implications in manufacturing technology selection process.Design/methodology/approachThe results illustrated in the paper are the outcome of an action research study that was conducted in an aerospace company.FindingsThe paper highlights the role of risk calculations in manufacturing technology selection process by elaborating the contribution of risk associated with manufacturing technology alternatives in the shape of opportunities and threats in different decision‐making environments.Practical implicationsThe research quantifies the risk associated with different available manufacturing technology alternatives. This quantification of risk crystallises the process of technology selection decision making and supports an industrial manager in achieving objective and comprehensive decisions regarding selection of a manufacturing technology.Originality/valueThe paper explains the process of risk calculation in manufacturing technology selection by dividing the decision‐making environment into manufacturing and supply chain environment. The evaluation of a manufacturing technology considering supply chain opportunities and threats provides a broader perspective to the technology evaluation process. The inclusion of supply chain dimension in technology selection process facilitates an organisation to select a manufacturing technology not only according to its own requirements, but also according to the interest of its constituent supply chain.

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Miller, Scott F., Rui Li, Hsin Wang, and Albert J. Shih. "Experimental and Numerical Analysis of the Friction Drilling Process." Journal of Manufacturing Science and Engineering 128, no. 3 (January 6, 2006): 802–10. http://dx.doi.org/10.1115/1.2193554.

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Friction drilling is a nontraditional hole-making process. A rotating conical tool is applied to penetrate a hole and create a bushing in a single step without generating chips. Friction drilling relies on the heat generated from the frictional force between the tool and sheet metal workpiece to soften, penetrate, and deform the work-material into a bushing shape. The mechanical and thermal aspects of friction drilling are studied in this research. Under the constant tool feed rate, the experimentally measured thrust force and torque were analyzed. An infrared camera is applied to measure the temperature of the tool and workpiece. Two models are developed for friction drilling. One is the thermal finite element model to predict the distance of tool travel before the workpiece reaches the 250°C threshold temperature that is detectable by an infrared camera. Another is a force model to predict the thrust force and torque in friction drilling based on the measured temperature, material properties, and estimated area of contact. The results of this study are used to identify research needs and build the foundation for future friction drilling process optimization.

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Zou, Yunhe, Guang Chen, Lianpeng Lu, Xuda Qin, and Chengzu Ren. "Kinematic view of cutting mechanism in hole-making process of longitude-torsional ultrasonic assisted helical milling." International Journal of Advanced Manufacturing Technology 103, no. 1-4 (March 19, 2019): 267–80. http://dx.doi.org/10.1007/s00170-019-03483-x.

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Kumar, Vidyapati, Sunny Diyaley, and Shankar Chakraborty. "TEACHING-LEARNING-BASED PARAMETRIC OPTIMIZATION OF AN ELECTRICAL DISCHARGE MACHINING PROCESS." Facta Universitatis, Series: Mechanical Engineering 18, no. 2 (July 29, 2020): 281. http://dx.doi.org/10.22190/fume200218028k.

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Due to several unique features, electrical discharge machining (EDM) has proved itself as one of the efficient non-traditional machining processes for generating intricate shape geometries on various advanced engineering materials in order to fulfill the requirement of the present day manufacturing industries. In this paper, the machining capability of an EDM process is studied during standard hole making operation on pearlitic SG iron 450/12 grade material, while considering gap voltage, peak current, cycle time and tool rotation as input parameters. On the other hand, material removal rate, surface roughness, tool wear rate, overcut and circularity error are treated as responses. Based on single- and multi-objective optimization models, this process is optimized using the teaching-learning-based optimization (TLBO) algorithm, and its performance is contrasted against firefly algorithm, differential evolution algorithm and cuckoo search algorithm. It is revealed that the TLBO algorithm supersedes the others with respect to accuracy and consistency of the derived optimal solutions, and computational efforts.

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Chang, Dar-Yuan, and Shu-Yi Lin. "Tool Wear, Hole Characteristics, and Manufacturing Tolerance in Alumina Ceramic Microdrilling Process." Materials and Manufacturing Processes 27, no. 3 (March 2012): 306–13. http://dx.doi.org/10.1080/10426914.2011.577881.

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Mammadov, Javanshir Firudin, Banovsha Valiyeva, Afat Sudef gizi Huseynova, and Yegana Mirdamat gizi Hasanova. "Development of diagnostic subsystem for manufacturing active elements in instrument-making industry." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2022, no. 1 (January 31, 2022): 16–21. http://dx.doi.org/10.24143/2073-5529-2022-1-16-21.

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Ensuring the quality of products on the production line requires application of the automated diagnostic systems in the robotic complexes to control their performance. The aim and research problems are defined by analyzing the existing automated diagnostic systems of technical units at manufacture active elements in the instrumental-making industry. On an example of industrial robots working in the manufacture enterprises at instrument-making industry there were determined the sensor tools for information-measuring their moving parts and a working status of the mechatronic units, as well as a scheme of the sustainable diagnostics of automated control system of active elements of the researched technological process. To ensure the stability of an automatic diagnostic system for industrial robots working in a production module it was proposed to use general diagnostic testing tools for the automated process control system, elements for replacing faulty elements and a decision-making subsystem for diagnosing industrial robots. A hierarchical scheme of diagnostic subsystem of active elements in the automated control system of the manufacturing enterprise uinder study is given, as well as the work principals for every hierarchical level

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SACKETT, PETER J., and DAVID K. WILLIAMS. "DATA VISUALIZATION IN MANUFACTURING DECISION MAKING." Journal of Advanced Manufacturing Systems 02, no. 02 (December 2003): 163–85. http://dx.doi.org/10.1142/s0219686703000307.

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Adherence to planned sequence is critical in Just-In-Time Lean Manufacturing (JITLM) environments such as that of the high volume automotive industry. The production efficiencies that Just-In-Time Lean Manufacturing provides are maximized where delivery of components and assemblies to production is matched by assembly of those components to a finished product in a planned order. Deviation from the planned balanced production sequence reduces manufacturing efficiency and may impact product quality where the product mix places a sustained or high demand on certain production resources. This paper addresses how to process and display manufacturing sequence data for high volume variant manufacture in such a way that an accurate impression of the production status can be readily communicated to manufacturing management, supervision and operations personnel. The authors review current practice in the field of sequencing for high volume manufacture and the available information presentation technologies. The realization and application of a novel prototype visualization, developed within a leading international automotive company, is described. The system incorporates both graphical and numeric representations of the manufacturing data. The representations clearly illustrate historical performance, indicate trends in performance and in the case of sequence adherence, provide a prediction of the process performance. These outputs are designed to be used locally in the plant and in the context of the global enterprise supply chain.

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Soban, Danielle, David Thornhill, Santosh Salunkhe, and Alastair Long. "Visual Analytics as an Enabler for Manufacturing Process Decision-making." Procedia CIRP 56 (2016): 209–14. http://dx.doi.org/10.1016/j.procir.2016.10.056.

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Dewi Joe, Carina Citra, and Adam John Ritchie. "Making THE vaccine." Biochemist 43, no. 4 (July 16, 2021): 8–13. http://dx.doi.org/10.1042/bio_2021_150.

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The COVID-19 pandemic has caused millions of deaths and devastated communities across the globe. Vaccines will play a key role in bringing the pandemic under control, with successful clinical trials, authorizations and roll-out having now occurred in several countries. However, large-scale manufacturing of such vaccines remains a bottleneck to delivering doses to billions of people at risk of infection, as well as producing new versions of the vaccines that target variants. Here we discuss the current status of manufacturing, focusing on the adenovirus-vectored vaccine developed by the University of Oxford and how the process for manufacturing it was developed.

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Sun, Jiang, and Qi Xiao. "Deformation and Stress Analsys of Wrapped pin Joint between Composite and Metal." Advanced Materials Research 548 (July 2012): 393–97. http://dx.doi.org/10.4028/www.scientific.net/amr.548.393.

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By filament winding technology, a pin hole can be formed in the process of composite manufacturing through wrapped fiber tow around pin, so fiber tows around the pin hole are continued. The paper presents the deformation and stress analysis for this kind of pin hole and compares those with ordinary pin hole. The numerical results show that the wrapped pin hole has a good stress and deformation ability.

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Kim, K. H., C. H. Cho, S. Y. Jeon, K. Lee, and D. A. Dornfeld. "Drilling and deburring in a single process." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 217, no. 9 (September 1, 2003): 1327–31. http://dx.doi.org/10.1243/095440503322420250.

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A drill bit integrated with a retractable deburring cutter can be used for drilling and deburring exit burrs in a single process. In preliminary works, the authors learned that the retractable cutter may cause hole widening during its passage through the holes. A new design for the deburring cutter is proposed to avoid hole widening. With the new design, mild exit burrs (types I and II) are successfully removed. For large exit burrs (type III), however, the deburring is likely to be incomplete.

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Biermann, Dirk, Alexei Sacharow, and Klaus Wohlgemuth. "Simulation of the BTA deep-hole drilling process." Production Engineering 3, no. 4-5 (October 7, 2009): 339–46. http://dx.doi.org/10.1007/s11740-009-0176-y.

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Zheng, Lijuan, Chengyong Wang, Xin Zhang, Yuexian Song, Lunqiang Zhang, and Kefeng Wang. "The entry drilling process of flexible printed circuit board and its influence on hole quality." Circuit World 41, no. 4 (November 2, 2015): 147–53. http://dx.doi.org/10.1108/cw-11-2014-0054.

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Purpose – The purpose of this study is to present the entry drilling process of flexible printed circuit board (FPCs) and its influence on hole quality, especially hole location accuracy. Compared with the traditional PCB drilling process, the technology of drilling FPCs is facing more problems, such as hole location accuracy, smear on the hole wall surface, burned hole wall surface, etc. Moreover, the materials of FPCs are quite different from the rigid printed circuit boards (RPCs). FPCs no longer contain glass fiber cloths to reinforce resin, resulting in flexibility. Micro-hole quality is the most important issue in FPC drilling. Suggestions were given to obtain higher hole qualities and higher FPC reliability. Design/methodology/approach – The entry drilling process of FPC with different kind of entry boards was observed by a high-speed camera. The hole qualities of FPC micro-drilling, especially hole location accuracy and hole entrance quality, were measured. The relationship between entry boards and hole quality was analyzed. Findings – Significant sliding occurred when drilling FPC with using no-entry board or pure aluminum plate entry board. On the contrary, no significant sliding occurred when using LC-110 or resin-coated aluminum foil (MVC) entry boards. The type, thickness and use-pattern of entry boards influenced hole location accuracy of FPCs seriously. In addition, entry board also influenced the micro-hole entrance quality and micro-hole diameter. The entrance quality of drilling FPC with LC-110 entry board was the best. The diameter variation of drilling FPC with MVC entry board was the smallest. The hole location accuracy decreased as the thickness of entry board increased. Thus, the best use-pattern of entry board was putting a LC-110 under MVC entry board, resulting in best entrance quality and hole location accuracy. Originality/value – The technology and manufacturing of FPCs in China are obviously behind. Research of FPCs micro-drilling and research data are lacking so far. Thus, it is most necessary to improve the technology level of FPCs micro-drilling in China. Researches on hole quality, especially hole location accuracy of FPCs drilling, were performed in this paper. Suggestions were given to obtain higher hole quality of FPCs.

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Su, Fei, Wenyi Li, Chen Juan, Xu Xu, and Chunjie Li. "Drill-milling process and novel drill-milling tool for making a hole on carbon fiber–reinforced plastics." International Journal of Advanced Manufacturing Technology 115, no. 7-8 (May 20, 2021): 2125–43. http://dx.doi.org/10.1007/s00170-021-07110-6.

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Budiono, Hendri D. S., and Marthan Lassandy. "Cost estimation model in early stage of design through implant miniplate complexity process index." E3S Web of Conferences 67 (2018): 01030. http://dx.doi.org/10.1051/e3sconf/20186701030.

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Manufacturing is an activity of processing raw materials into semi-finished or finished products. In addition to manufacturing process, the industry needs product design, material selection, material distribution to create a product. A product produced from a manufacturing system has an index of product complexity that illustrates that the product is made with a certain degree of complexity. The process done on the production of miniplate implants is the process of forming an outside profile, slicing process, the hole process, micro finishing, and ultrasonic cleaning. Quantitative methods used are feature-based cost, operationbased cost, and breakdown approach. Feature based cost consists of cost by feature, that is the cost outside profile, slicing process, the hole process, micro finishing, and ultrasonic cleaning costs. Operation based cost consists of set up, operation, and unloading costs. Breakdown approach consists of cost set tool, set workpiece, and programming on set up, operator cost, material, overhead, energy, and tool, unloading cost consists of release tool cost and release workpiece. Process complexity of the miniplate implant manufacturing process in the early stage of the design can be done with the help of Siemens Nx 8 software as a timing guide with the same parameters and has been tested for the correlation. The process complexity index of the miniplate implant manufacturing process is 100.08 and the estimated process cost of the miniplate implant manufacturing process using a combined analytical technique is IDR 139.150,94.

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Veres, Péter, Tamás Bányai, and Béla Illés. "Optimization of In-Plant Production Supply with Black Hole Algorithm." Solid State Phenomena 261 (August 2017): 503–8. http://dx.doi.org/10.4028/www.scientific.net/ssp.261.503.

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Logistic process is a basic factor in the success of manufacturing plants’ operation and has a direct impact on its efficiency, flexibility and reliability. Today’s successful operation of manufacturing processes views logistics as a high priority to ensure maximum utilization of resources. The material supply of manufacturing processes in the automotive industry is usually based on supermarkets and milk runs. This paper proposes an integrated supply model of manufacturing processes, which includes facility location and assignment. After a careful literature review, this paper introduces a mathematical model to formulate the problem of supermarkets and milk run based supply of machines. The model seeks the optimal location of buffers as well as the optimal assignment of buffers and machines so as to minimize the material handling costs while taking into account order limits of machines and capacities of resources. Next, we demonstrate an enhanced black hole algorithm dealing with multi-objective supply chain model to find the optimal structure of the system. Numerical results demonstrate how the proposed model supports the efficiency, flexibility and reliability of the manufacturing process.

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Andriani, Claudy, Wahyu Caesarendra, Tegoeh Tjahjowidodo, Tomi Wijaya, and Bobby K. Pappachan. "Modal Analysis of Replica Boss Hole During the Deburring Process in Aerospace Manufacturing Industry." MATEC Web of Conferences 159 (2018): 02035. http://dx.doi.org/10.1051/matecconf/201815902035.

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The monitoring of surface finishing processes in aerospace manufacturing industry becomes one of key issues to maintain the overall quality of product or part. To date, the surface quality monitoring post machining processes such as deburring, use visual inspection, surface roughness test or laser gap gun. The whole manufacturing process then requires a considerable amount of time as the production line must be halted due to these measurements taking place. This study presents an online monitoring system to measure the chamfer quality of replica boss hole post-deburring process. Vibration signal was measured during the deburring process and the features that correlate to the deburring stages (passes) were extracted. This paper focuses on the validation of actual vibration signal with the modal analysis of work coupon (replica boss hole) to obtain the correlation between the vibration amplitude level on particular region and the mode shape of work coupon during the deburring process.

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Karmiris-Obratański, Panagiotis, Nikolaos E. Karkalos, Dimitrios Skondras-Giousios, Emmanouil-Lazaros Papazoglou, Panagiotis Kyratsis, and Angelos P. Markopoulos. "Experimental study on the hole quality during abrasive waterjet drilling of CFRP." International Journal of Modern Manufacturing Technologies 13, no. 2 (December 20, 2021): 103–8. http://dx.doi.org/10.54684/ijmmt.2021.13.2.103.

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Abrasive Waterjet (AWJ) machining is considered an excellent alternative to conventional machining processes due to its superb machining characteristics. More specifically, Abrasive Waterjet drilling is nowadays a promising non-conventional process for obtaining high quality holes. In the present study, drilling experiments based on Taguchi L9 orthogonal design method were conducted via AWJ on carbon fiber reinforced polymer (CFRP) plate at various waterjet parameters, namely, different pressure, abrasive mass flow rate and standoff distance values. The purpose of the experiments was to investigate the impact of these process parameters on the quality of holes. The hole quality was determined by measuring the hole diameter error as well as the hole taper. The optical evaluation was implemented with the use of optical microscope and special measuring software. The ANOVA analysis of the results showed a significant influence of standoff distance regarding the hole diameter error and a combined influence of waterjet pressure and standoff distance regarding the hole taper. Furthermore, the optimal process parameter values for the optimization of the hole diameter error and hole taper were determined. The hole quality in terms of defects appearance was also quantitatively inspected, through optical imaging.

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Ocampo, Lanndon A. "Decision Modeling for Manufacturing Sustainability with Fuzzy Analytic Hierarchy Process." Global Business Review 20, no. 1 (December 25, 2017): 25–41. http://dx.doi.org/10.1177/0972150917736990.

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This article intends to integrate sustainability and the classical manufacturing strategy (MS) into a coherent hierarchical decision-making framework that identifies the content of a sustainable MS using fuzzy analytic hierarchy process (fuzzy AHP). Instead of using the traditional fundamental scale of the AHP, linguistic variables with equivalent triangular fuzzy numbers (TFNs) are used to elucidate judgement of elements in pairwise comparisons. AHP, as a widely adopted tool in multiple criteria decision making (MCDM) problems, effectively handles the subjectivity and comprehensiveness of decision-making complexity that is structured hierarchically. Domain experts in MS and sustainability were asked to elicit judgement in AHP pairwise comparison approach. Results show the content strategy of the nine decision categories in manufacturing that addresses sustainability and competitiveness. A priority list of decisions is also presented which may guide decision-makers in resource allocation, medium- and long-range planning, and in formulating strategic initiatives. The main contribution of this article is the formulation of a sustainable MS from a hybrid approach that captures uncertainty and subjectivity in decision-making.

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Liu, Jiao Jian, Wen He Liao, Yu Guo, and Wen Bin Wang. "Knowledge-Integration Model for Networked Manufacturing." Advanced Materials Research 314-316 (August 2011): 2027–32. http://dx.doi.org/10.4028/www.scientific.net/amr.314-316.2027.

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In order to maximize knowledge sharing and reuse in networked manufacturing process and improve the rapidity and reliability of decision-making, a knowledge-integration model and its implementation methods are proposed in this paper. First, the requirement for knowledge integration in networked manufacturing is analyzed. On this basis, a knowledge-integration model is built, and then three key technologies are studied, namely knowledge representation and organization based on ontology, knowledge correlation analysis based on complex network and knowledge supply based on decision-making context. This model provides an effective way to realize the optimum distribution of knowledge in networked manufacturing process and to improve the efficiency of decision-making process.

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Zhu, Shuo, Zhigang Jiang, Hua Zhang, Guangdong Tian, and Yanan Wang. "A carbon efficiency evaluation method for manufacturing process chain decision-making." Journal of Cleaner Production 148 (April 2017): 665–80. http://dx.doi.org/10.1016/j.jclepro.2017.01.159.

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Ocampo, Lanndon, and Eppie Clark. "A Simulation-Based Fuzzy Analytic Network Process Approach in Developing Sustainable Manufacturing Strategy." Management and Production Engineering Review 6, no. 2 (June 1, 2015): 32–39. http://dx.doi.org/10.1515/mper-2015-0014.

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Abstract This paper adopts a probabilistic fuzzy analytic network process (PROFUZANP) approach in developing a sustainable manufacturing strategy. In this hybrid method, analytic network process handles the complexity of the problem structure under consideration, fuzzy set theory is used to describe vagueness in individual decision-making and probability theory is used to handle randomness in group decision-making. This holistic methodological approach addresses complexity and uncertainty both in individual and group decision-making which is useful in modeling group decisions such as developing a sustainable manufacturing strategy. In this work, an inclusive approach of integrating traditional manufacturing strategy concepts and sustainable manufacturing principles is proposed as a unifying decision model. The proposed decision structure adopts the hierarchical structure of manufacturing strategy and explores the presence of strategic responses and stakeholders’ interests as significant components of sustainability. Using PROFUZANP, the decision model identifies the content policies of sustainable manufacturing strategy. This content strategy is expected to address both competitiveness and sustainability of manufacturing firms. Results are reported in this paper along with insights and future work. The contribution of this work is the integration of manufacturing strategy and sustainability into a coherent decision framework that requires the use of PROFUZANP in dealing with complex and uncertain group decision-making problem.

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Lecký, Šimon, Stefan Václav, Dávid Michal, Róbert Hrušecký, Peter Košťál, and Ivan Molnár. "Assembly Tool Manufacturing and Optimization for Polylactic Acid Additive Manufacturing." Materials Science Forum 952 (April 2019): 153–62. http://dx.doi.org/10.4028/www.scientific.net/msf.952.153.

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Paper focuses on additive manufacturing of assembly tool for hole selection. One of the most important part in design and optimization process in additive manufacturing for assembly tool is material selection and technology. In this case was chosen plastic material know as poly-lactic-acid. Polylactic acid has low shrinkage and huge potential in assembly tooling and assembly fixture manufacturing. Main benefits are in use of additive manufacturing for this purpose because of huge manufacturing variability and time savings in case of frequent design changes. From filament fused fabrication technology stand point is important to determine right manufacturing orientation of part. Main material benefit is bio-degradability and recyclability. Current trend in manufacturing is bio materials, clean manufacturing and ecofriendly products. Correct orientation of assembly tool will optimize manufacturing process in one way. Article is aimed on manufacturing precision in each orientation of part on build late. With right orientation of part in additive manufacturing process is determined exact precision of assembly tool manufacturing. For measurement was used coordinate-measuring machine. In this case measurements and precision checking are made only in exact spots where is needed the most precise distance

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Wu, Congyi, Tian Zhang, Yu Huang, and Youmin Rong. "PI Film Laser Micro-Cutting for Quantitative Manufacturing of Contact Spacer in Flexible Tactile Sensor." Micromachines 12, no. 8 (July 30, 2021): 908. http://dx.doi.org/10.3390/mi12080908.

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The contact spacer is the core component of flexible tactile sensors, and the performance of this sensor can be adjusted by adjusting contact spacer micro-hole size. At present, the contact spacer was mainly prepared by non-quantifiable processing technology (electrospinning, etc.), which directly leads to unstable performance of tactile sensors. In this paper, ultrathin polyimide (PI) contact spacer was fabricated using nanosecond ultraviolet (UV) laser. The quality evaluation system of laser micro-cutting was established based on roundness, diameter and heat affected zone (HAZ) of the micro-hole. Taking a three factors, five levels orthogonal experiment, the optimum laser cutting process was obtained (pulse repetition frequency 190 kHz, cutting speed 40 mm/s, and RNC 3). With the optimal process parameters, the minimum diameter was 24.3 ± 2.3 μm, and the minimum HAZ was 1.8 ± 1.1 μm. By analyzing the interaction process between nanosecond UV laser and PI film, the heating-carbonization mechanism was determined, and the influence of process parameters on the quality of micro-hole was discussed in detail in combination with this mechanism. It provides a new approach for the quantitative industrial fabrication of contact spacers in tactile sensors.

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Biermann, D., M. Kersting, and N. Kessler. "Process adapted structure optimization of deep hole drilling tools." CIRP Annals 58, no. 1 (2009): 89–92. http://dx.doi.org/10.1016/j.cirp.2009.03.102.

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Shete, Hanmant V., and Madhav S. Sohani. "Effect of Process Parameters on Hole Diameter Accuracy in High Pressure Through Coolant Peck Drilling Using Taguchi Technique." International Journal of Materials Forming and Machining Processes 5, no. 1 (January 2018): 12–31. http://dx.doi.org/10.4018/ijmfmp.2018010102.

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Machining with pressurized coolant is nowadays widely accepted technique in the manufacturing industry, especially in high performance machining conditions. The data on the effects of variation of high coolant pressure in drilling operation is limited. This paper presents the effect of high coolant pressures along with spindle speed, feed rate and peck depth on hole diameter accuracy. Experiments were performed on EN9 steel with TiAIN coated through coolant drill on CNC vertical machining center. Taguchi technique was employed for design of experiments and analysis of results. Results showed that the higher values of optimal coolant pressure and spindle speed were demanded for drilling at bottom of hole as compared to that for drilling at top of hole. The optimal values of feed rate and peck depth were same for both the cases of drilling at top and bottom of hole. Use of high coolant pressure in drilling permits higher peck depth for better hole diameter control which results in reduced cycle time and hence production cost.

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Wang, Ya, and Min Wang. "Calling Method of Process Sheet in Interactive Round-Hole Broach CAPP System." Advanced Materials Research 542-543 (June 2012): 503–6. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.503.

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On the basis of analyzing the present condition of manufacturing process planning in various factories, we formulate the calling strategy of the interactive round-hole broach CAPP system based on Solidworks to realize the system function, general structure and operation mode of the system. The method can reduce the duplication of labor during the process design while improve the design efficiency and the accuracy of process data.

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Journal articles on the topic 'Manufacturing process of hole-making'

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