Evaluation and modeling of productivity and dynamic capability in high-speed machining centers

Flores, Víctor; Ortega, Carlos Urbina; Albertí, Marta; Rodríguez, Ciro A.; Ciurana, Joaquim; Elías, Alex

doi:10.1007/s00170-006-0784-z

Cited by 11 publications

(5 citation statements)

References 10 publications

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“…Draganescu et al (2003) carried out experiments for statistic modelling of machine tool efficiency and of specific consumed energy in machining, and established the relationship between machine tool efficiency and consumed energy which are determined by cutting parameters [18]. Flores et al (2007) considered that the current standards for machine tool performance evaluation did not suit productivity and dynamic capacity at high feed rates, and presented a model for evaluating productivity and dynamic capacity in high-speed machining centres [19].…”

Section: Related Workmentioning

confidence: 99%

“…MCt 100 × 0.1 ≈ 6.4 (22) Consequently, the user's net profit in one minute can be easily calculated 9−6.4 146 × 60 ≈ 1. Based on equation (19), the potential machining areas of the three segments in unit time are respectively: A p2 = 467.56; A p3 = 581.48; A p4 = 755.77, where A pi is the potential machining area in the ith segment. And using equation (18), MCp of the TP-iPSS with the cutting tool is 84.4.…”

Section: Money =mentioning

confidence: 99%

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Machining capacity measurement of an industrial product service system for turning process

Zhu

Jiang

2011

Proceedings of the Institution of Mechanical Engineers, Part B:

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Machining capacity measurement is of great importance in an industrial product service system for turning processes (TP-iPSS) owing to its roles in TP-iPSS evaluation, accounting, and optimization. In this paper, the concepts of potential machining capacity (MCp), real machining capacity (MCr), and total machining capacity (MCt) are presented. As for a configured TP-iPSS whose lathe is given and determined, MCp is majorly influenced by the lathe's attachments, especially the cutting tool, MCr is majorly correlative with cutting parameters (cutting depth, cutting velocity and feed) and workpiece properties besides parameters of cutting tool. Combining different cutting tool with the TP-iPSS, different MCp and potential machining area ( Ap) can be obtained, then the measurement models of MCp and Ap are established through using multivariate regression analysis, and MCr is calculated with the product of MCp and the ratio of Ap to Ar (real machining area). In addition, MCt in a time interval can be calculated with the sum of MCr in the time interval. Finally, a case is studied to demonstrate the MCp, MCr, and MCt models and their basic applications to TP-iPSS evaluation, accounting, and optimization.

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Section: Related Workmentioning

confidence: 99%

Section: Money =mentioning

confidence: 99%

Machining capacity measurement of an industrial product service system for turning process

Zhu

Jiang

2011

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…The polarizing beam splitter reflects it to the four quadrant photoelectric sensors through the lens, and then the position can be obtained. Flores et al [19] developed a measurement system composed of a 2D angle grid and two 2D slope sensors, named the dual-mode surface encoder. Park et al [20] developed a TCP measurement system using visual images.…”

Section: Introductionmentioning

confidence: 99%

A Study of 2D Contour Measurement System at Tool Center Point of Machine Tools

Chen

Tsai

2022

Machines

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This study proposes a 2D contour measurement system at the tool center point (TCP) that consists of a Blu-ray pickup head and position sensitive detector (PSD). The TCP displacement is equivalent to the relative position between the tool and workpiece. When the machine tools operate the machine part along the desired contour, the TCP displacement affects the machining geometric accuracy. To evaluate the TCP displacement, the contour errors are measured by the cross-grid encoder (KGM) in practice. However, it is difficult to install KGM as it is large and expensive. In this study, an optical measurement system (OMS) is constructed to measure the TCP displacement, named TCP-OMS. A Blu-ray pickup head was installed on the spindle as a tool, and a PSD was installed on the table as a workpiece. To enhance the measurement signal’s resolution and precision of TCP-OMS, the noise was reduced by an AC voltage stabilizer, a DC regulator, and a low-pass filter. The experimental results show that the resolution of displacement measurement was less than 1 , and the linearity regions of the X-orientation and Y-orientation were ±3 . The motion test on the circular paths were performed on an actual machine tool, and the repeatability tests of this measurement system were verified. The measurement data of circular paths were collected by TCP-OMS and KGM and the results were then compared. When the feed rate of the circular paths increased, the circular deviations were magnified, simultaneously. The axis reversal spikes were observed at the quadrants of a circular path. These measurement results of TCP-OMS matched with the measurement results of KGM. The TCP-OMS developed in this study is characterized by simple installation, compactness, and a low price. It is suitable for 2D contour measurement at the tool center point of machine tools.

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“…1,2 Time savings are even being considered in high-speed machining. 3 These methods are based on the partitioning of the surface into patches and determining an adequate tool orientation and tool path strategy for each patch. The parameters used for partitioning include the surface coordinates and normal vectors, which provide only local information at the sample points.…”

Section: Introductionmentioning

confidence: 99%

Rolling ball method applied to 3½½-axis machining for tool orientation and positioning and path planning

Roman

Barocio

Huegel

et al. 2015

Advances in Mechanical Engineering

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In 3½½-axis machining, the machined part surface is partitioned in pre-processing in order to calculate the tool position and patch boundaries and then machined in patches, thereby minimizing the intermediate manual part re-positioning and the overall machining time. Each patch requires a constant, but different, tool orientation. In previous research, local properties have been used to subdivide surfaces into patches. For an ideal tool position and orientation, however, the tool's shape and curvature should exactly match the shape and curvature of the part surface. The rolling ball method, originally developed for 5-axis machining, considers the regional characteristics of tool positioning. This work extends the rolling ball method to 3½½-axis machining, thereby successfully delivering 5-axis quality with currently installed 3-axis computer numerical control milling machines. The pseudo-radius of curvature provides a novel geometrical subdivision criterion. Two Bézier curved surfaces are tested and compared with the 5-axis rolling ball method. Two additional surfaces are presented to further demonstrate the partitioning capability of the method. The results suggest that the rolling ball method for 3½½-axis machining is comparatively competitive in performance and quality.

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Evaluation and modeling of productivity and dynamic capability in high-speed machining centers

Cited by 11 publications

References 10 publications

Machining capacity measurement of an industrial product service system for turning process

Machining capacity measurement of an industrial product service system for turning process

A Study of 2D Contour Measurement System at Tool Center Point of Machine Tools

Rolling ball method applied to 3½½-axis machining for tool orientation and positioning and path planning

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