High Performance Milling Torque Sensor

1998 ◽  
Vol 120 (3) ◽  
pp. 504-514 ◽  
Author(s):  
D. A. Smith ◽  
S. Smith ◽  
J. Tlusty

Machine tool supervision and control algorithms require reliable and effective sensor signals to operate properly. In effort to satisfy this need, a high stiffness, wide bandwidth torque sensor for use in milling has been developed which directly measures the torque applied to a milling cutter during operation. The sensor is designed to fit between the tool and holder on conventional tooling with very little effect on the cutting process. The sensor is strain gage based and provides a virtually distortionless torque measurement over a bandwidth from DC to 2000 Hz when using a 100 mm diameter face mill on a commercial machining center. High torsional stiffness was achieved to provide a wide measurement bandwidth while allowing enough material strain, in the sensing element, to provide sufficient resolution of the milling torque. The radial stiffness of the sensor was also designed to be large enough not to compromise the stability and accuracy of the machine tool. The sensor is designed to house the critical electronic components which amplify the small voltage strain gage signal and convert the measurement into digital samples. These samples are continuously transmitted from the rotating spindle, in all positions, to a stationary receiver. Because the sensor is part of a structural system which also includes the spindle, tool holder and tool, the frequency response has distortions associated with the vibrational modes of the system. In order to obtain a wide undistorted bandwidth, a compensation filter having the reciprocal response of the sensor has been designed and implemented on a digital signal processor (DSP). The combined system of the sensor cascaded with the DSP provides a flat magnitude and linear phase frequency response.

2009 ◽  
Vol 3 (3) ◽  
pp. 343-347 ◽  
Author(s):  
K. M. Muditha Dassanayake ◽  
◽  
Masaomi Tsutsumi ◽  

The high performance rotary tables are immense necessary part for the multi-axis machines. These rotary tables are yet in the developing stage. In this report, a rotary table driven by roller drive is introduced and the characteristics of that are discussed by comparing them with the characteristics of rotary table driven by worm gear mechanism. As the characteristics, the positioning accuracy and repeatability, frequency response, rotational fluctuations and influence of unbalance mass on motion are measured. According to the measured results, it can be said that the rotary table driven by roller drive shows high performances and therefore it can be said that this type of rotary tables are well suited for machine tool applications.


Electronics ◽  
2018 ◽  
Vol 7 (10) ◽  
pp. 241 ◽  
Author(s):  
Arthur Rosa ◽  
Matheus Silva ◽  
Marcos Campos ◽  
Renato Santana ◽  
Welbert Rodrigues ◽  
...  

In this work, a new real-time Simulation method is designed for nonlinear control techniques applied to power converters. We propose two different implementations: in the first one (Single Hardware in The Loop: SHIL), both model and control laws are inserted in the same Digital Signal Processor (DSP), and in the second approach (Double Hardware in The Loop: DHIL), the equations are loaded in different embedded systems. With this methodology, linear and nonlinear control techniques can be designed and compared in a quick and cheap real-time realization of the proposed systems, ideal for both students and engineers who are interested in learning and validating converters performance. The methodology can be applied to buck, boost, buck-boost, flyback, SEPIC and 3-phase AC-DC boost converters showing that the new and high performance embedded systems can evaluate distinct nonlinear controllers. The approach is done using matlab-simulink over commodity Texas Instruments Digital Signal Processors (TI-DSPs). The main purpose is to demonstrate the feasibility of proposed real-time implementations without using expensive HIL systems such as Opal-RT and Typhoon-HL.


1973 ◽  
Vol 16 (2) ◽  
pp. 248-256 ◽  
Author(s):  
James H. Abbs ◽  
Bruce N. Gilbert

A strain gage system was designed and constructed for transducing the movements of the lips and jaw in two dimensions during speech. Measurement of the structural loading factor, frequency response, linearity, and phase response of this system suggests that it provides a favorable alternative to some earlier lip and jaw monitoring devices. Some examples of the movement records obtained with this transducer system are provided.


2015 ◽  
Vol 724 ◽  
pp. 271-274 ◽  
Author(s):  
Rong Zeng ◽  
Zheng Feng Jiang ◽  
Xing Wan

s:Aiming at circumferential arc spring dual mass flywheel (CSDMF), this paper carries out analysis on the piecewise linear model and calculates the frequency response of damped model under sinusoidal excitation. Being combined with the calculate results, the research respectively analyzes the value of inertia ratio, torsional stiffness and damping parameters. The analysis results show that the greater the damping, inertia ratio of primary and secondary flywheels are, the torsional stiffness, the more obvious vibration damping of the dual mass flywheel would be. To meet the vibration damping requirements, the detail design of the three parameters need to be combined with power train and the torsion characteristic of CSDMF.


2004 ◽  
Vol 12 (02) ◽  
pp. 149-174 ◽  
Author(s):  
KILSEOK CHO ◽  
ALAN D. GEORGE ◽  
RAJ SUBRAMANIYAN ◽  
KEONWOOK KIM

Matched-field processing (MFP) localizes sources more accurately than plane-wave beamforming by employing full-wave acoustic propagation models for the cluttered ocean environment. The minimum variance distortionless response MFP (MVDR–MFP) algorithm incorporates the MVDR technique into the MFP algorithm to enhance beamforming performance. Such an adaptive MFP algorithm involves intensive computational and memory requirements due to its complex acoustic model and environmental adaptation. The real-time implementation of adaptive MFP algorithms for large surveillance areas presents a serious computational challenge where high-performance embedded computing and parallel processing may be required to meet real-time constraints. In this paper, three parallel algorithms based on domain decomposition techniques are presented for the MVDR–MFP algorithm on distributed array systems. The parallel performance factors in terms of execution times, communication times, parallel efficiencies, and memory capacities are examined on three potential distributed systems including two types of digital signal processor arrays and a cluster of personal computers. The performance results demonstrate that these parallel algorithms provide a feasible solution for real-time, scalable, and cost-effective adaptive beamforming on embedded, distributed array systems.


2011 ◽  
Vol 22 (3) ◽  
pp. 035205 ◽  
Author(s):  
Qiaokang Liang ◽  
Dan Zhang ◽  
Yunjian Ge ◽  
Xiuxiang Huang ◽  
Zhongyang Li

Blood ◽  
1988 ◽  
Vol 72 (5) ◽  
pp. 1687-1692 ◽  
Author(s):  
F Grimminger ◽  
M Menger ◽  
G Becker ◽  
W Seeger

Abstract Granulocyte (polymorphonuclear leukocyte, PMN) sequestration in the microvascular bed with release of different mediators has been implicated in the pathogenesis of inflammatory and allergic disorders in many organs including the lung. In the present study, we investigated the profile and quantity of leukotriene (LT) generation in isolated blood-free perfused rabbit lungs, in isolated PMNs in vitro and in rabbit lungs, following administration of PMNs, mimicking pulmonary leukostasis. Following stimulation with increasing concentrations of the calcium ionophore A 23137 (0.1 to 2 mumol/L), LTs were detected in the buffer fluid by their chromatographic mobility in different high-performance liquid chromatography (HPLC) systems, by on- line peak spectrum analysis, and by post-HPLC radioimmunoassay (RIA). In isolated lungs, a dose-dependent generation of cysteinyl LTs greater than LTB4, in the complete absence of omega-oxidation products of LTB4 as well as nonenzymatic hydrolysis products of LTA4, was evoked. PMNs in vitro showed a typical profile of LT liberation (LTB4, 20-OH-, and COOH-LTB4, nonenzymatic LTA4 metabolites). In the model of pulmonary leukostasis, the presence of omega-oxidation products of LTB4 indicated metabolic integrity of the trapped PMNs. Nonenzymatic hydrolysis products of LTA4 were, however, not detected in the combined system, whereas the cysteinyl LTs increased markedly. This profile suggests intercellular transfer of PMN-derived LTA4 to lung cells in the microenvironment. In addition, at 2 mumol/L A23187, the sum of all LTA4- derived products surpassed the arithmetic sum of the isolated preparations more than threefold. This potentiation of an LT generation under conditions of pulmonary leukostasis may be of biologic significance for amplification of inflammatory events.


2018 ◽  
Vol 246 ◽  
pp. 03044 ◽  
Author(s):  
Guozhao Zeng ◽  
Xiao Hu ◽  
Yueyue Chen

Convolutional Neural Networks (CNNs) have become the most advanced algorithms for deep learning. They are widely used in image processing, object detection and automatic translation. As the demand for CNNs continues to increase, the platforms on which they are deployed continue to expand. As an excellent low-power, high-performance, embedded solution, Digital Signal Processor (DSP) is used frequently in many key areas. This paper attempts to deploy the CNN to Texas Instruments (TI)’s TMS320C6678 multi-core DSP and optimize the main operations (convolution) to accommodate the DSP structure. The efficiency of the improved convolution operation has increased by tens of times.


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