Use of a roller guide unit in the mill 350-1

S. G. Chuchko; K. Ya. Romanov; Yu. P. Dolgoker; P. P. Polyakov; V. G. Korokhov; V. I. Gorelik

doi:10.1007/bf00735167

Group Electronic Monitoring of Hand Hygiene on Inpatient Units: A Multicenter Cluster Randomized Quality Improvement Study

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2020.518 ◽

2020 ◽

Vol 41 (S1) ◽

pp. s38-s39

Author(s):

Jerome Leis ◽

Jeff Powis ◽

Allison McGeer ◽

Daniel Ricciuto ◽

Tanya Agnihotri ◽

...

Keyword(s):

Quality Improvement ◽

Hand Hygiene ◽

Electronic Monitoring ◽

Current Approach ◽

Antibiotic Resistant ◽

Guide Unit ◽

Cluster Randomized ◽

Healthcare Associated ◽

The Impact ◽

Inpatient Units

Background: The current approach to measuring hand hygiene (HH) relies on human auditors who capture <1% of HH opportunities and rapidly become recognized by staff, resulting in inflation in performance. Our goal was to assess the impact of group electronic monitoring coupled with unit-led quality improvement on HH performance and prevention of healthcare-associated transmission and infection. Methods: A stepped-wedge cluster randomized quality improvement study was undertaken across 5 acute-care hospitals in Ontario, Canada. Overall, 746 inpatient beds were electronically monitored across 26 inpatient medical and surgical units. Daily HH performance as measured by group electronic monitoring was reported to inpatient units who discussed results to guide unit-led improvement strategies. The primary outcome was monthly HH adherence (%) between baseline and intervention. Secondary outcomes included transmission of antibiotic resistant organisms such as methicillin resistant Staphylococcus aureus (MRSA) and other healthcare-associated infections. Results: After adjusting for the correlation within inpatient units, there was a significant overall improvement in HH adherence associated with the intervention (IRR, 1.73; 95% CI, 1.47–1.99; P < .0001). Monthly HH adherence relative to the intervention increased from 29% (1,395,450 of 4,544,144) to 37% (598,035 of 1,536,643) within 1 month, followed by consecutive incremental increases up to 53% (804,108 of 1,515,537) by 10 months (P < .0001). We identified a trend toward reduced healthcare-associated transmission of MRSA (0.74; 95% CI, 0.53–1.04; P = .08). Conclusions: The introduction of a system for group electronic monitoring led to rapid, significant, and sustained improvements in HH performance within a 2-year period.Funding: NoneDisclosures: None

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Improved design of roller linear guide for heavy load based on finite element method and measurement

Advances in Mechanical Engineering ◽

10.1177/1687814018800158 ◽

2018 ◽

Vol 10 (9) ◽

pp. 168781401880015

Author(s):

Xianchun Song ◽

Hongjian Chen ◽

Hongkui Jiang ◽

Xiangrong Xu ◽

Yanfeng Li ◽

...

Keyword(s):

Finite Element ◽

Sliding Friction ◽

Design Method ◽

Friction Torque ◽

Experimental Investigations ◽

Heavy Load ◽

Linear Guide ◽

Roller Guide ◽

Element Simulation ◽

Improved Design

Roller linear guides are key components in machine tool. The accuracy and efficiency of a machine toll are determined by the stiffness and friction torque of roller guide. This study proposes an improved design method for roller guide. The influences of the rollers profile on stiffness, stress distribution of roller linear guide are analyzed using finite element simulation. In this work, the design of the roller, slider, and the overall structure is modified. Moreover, experimental investigations on noise and sliding friction of roller linear guide are compared to validate the proposed design method. It seems that the proposed design can improve the dynamical performance of the roller linear guide.

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A linear model for the machine tool assembly error prediction considering roller guide error and gravity-induced deformation

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/0954406220911401 ◽

2020 ◽

Vol 234 (15) ◽

pp. 2939-2950 ◽

Cited By ~ 1

Author(s):

Gaiyun He ◽

Panpan Shi ◽

Longzhen Guo ◽

Bohui Ding

Keyword(s):

Machine Tool ◽

Error Model ◽

Error Modeling ◽

Propagation Model ◽

Joint Surface ◽

Analytical Relationship ◽

Error Prediction ◽

Linear Superposition ◽

Roller Guide ◽

Assembly Error

In assembly, error prediction and control according to the error state of the machine parts are the key links to ensuring the accuracy of the entire machine tool. In this study, an assembly error modeling method considering the error of the roller guide and gravity-induced deformation is proposed. First, based on the Hertz contact theory, a nonlinear error propagation model for the roller guide to the moving part is proposed. With this model, the analytical relationship between the straightness error of the guide rail and the errors of the moving part can be established. Then, after the linearization of the guide error model, a machine assembly error model considering the guide error is proposed. This model expresses the linear relationship between the error of the rolling joint surface and the error of the machine tool after the final assembly. Additionally, considering the influence of gravity deformation of structural parts, the gravity deformation is extracted by the finite element analysis method and added to the model by linear superposition. As a result, the model corresponds more with the practical assembly process. Finally, an assembly error prediction method of the precision horizontal machining center is presented, and a case is studied to demonstrate the validity of the proposed model and method.

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Determination of the load on profiled roller guide rails used as ram guides for metal-forming machines

Production Engineering ◽

10.1007/s11740-007-0019-7 ◽

2007 ◽

Vol 1 (1) ◽

pp. 45-49 ◽

Cited By ~ 1

Author(s):

Bernd-Arno Behrens ◽

Michael Ahrens

Keyword(s):

Metal Forming ◽

Roller Guide

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Quantitative Evaluation Method for Damping Capacity of Linear Rolling Bearings for Feed Drive Mechanisms

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.523-524.656 ◽

2012 ◽

Vol 523-524 ◽

pp. 656-661

Author(s):

Yasunori Sakai ◽

Masaomi Tsutsumi

Keyword(s):

Mathematical Model ◽

Quantitative Evaluation ◽

Evaluation Method ◽

Quantitative Estimation ◽

Estimation Method ◽

Damping Capacity ◽

Rolling Bearings ◽

Roller Guide ◽

Feed Drive ◽

Stiffness And Damping

The vibration damping of guide ways is an important factor in the design of feed drive mechanisms for machine tools. Linear rolling bearings are often used as guide ways because of their low friction. However, there are no quantitative evaluation methods for its damping. Thus, this paper describes a quantitative estimation method for the stiffness and damping capacity of a linear roller guide through an experiment and a mathematical model. The stiffness and damping coefficient of the linear roller guide are identified through the frequency resonance function and mathematical model of the feed drive mechanism. It is shown that a lubricant film can effectively increase the stiffness and damping capacity of the linear roller guide.

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