Linking performance measurements and manufacturing process improvements: the two-stage analytical framework

2021 ◽  
Vol 11 (4) ◽  
pp. 542
Author(s):  
Syarifa Hanoum ◽  
Sardar M.N. Islam
Keyword(s):  
Manufacturing Process ◽  
Analytical Framework ◽  
Performance Measurements ◽  
Two Stage ◽  
Process Improvements

Aerodesign and Testing of an Aeromechanically Highly Loaded LP Turbine

2003 ◽  
Vol 128 (4) ◽  
pp. 643-649 ◽  
Author(s):  
F. J. Malzacher ◽  
J. Gier ◽  
F. Lippl
Keyword(s):  
High Speed ◽  
High Efficiency ◽  
Pressure Ratio ◽  
Test Facility ◽  
Performance Measurements ◽  
Two Stage ◽  
Low Pressure Turbine ◽  
High Mach ◽  
Lp Turbine ◽  
Compact Geometry

Future turbo systems for aircraft engines need very compact geometry, low weight, and high efficiency components. The geared turbofan enables the engine designer to decouple the speed of the fan and the LP turbine to combine a low speed fan with a high speed LP turbine. The low pressure turbine is a key component for this concept. The technological challenge is very much driven by the very high low-spool speed. Resulting as well from high inlet temperatures, the LP turbine needs cooling of the first stage. A new MTU LPT concept for such a high speed turbine has been developed and tested in a turbine rig. The concept consists of a two-stage turbine for extremely high speed and high stage pressure ratio (ER 2.3). This leads to extra high mechanical loading and an exotic combination of high Mach numbers (transonic) and very low Reynolds numbers. In this paper some design features are described. Some elements of the airfoil design were also tested in additional cascade tests. The two-stage turbine was tested at the Altitude Test Facility of the ILA, Stuttgart. The test setup is described including details of the instrumentation. Test data shows a good turbine performance. Measurements are also compared to 3D CFD, which is used to analyze local effects.

scholarly journals Analysis of Assembly Error Effect on Stability Accuracy of Unmanned Aerial Vehicle Photoelectric Detection System

2020 ◽  
Vol 10 (7) ◽  
pp. 2311
Author(s):  
Keyan He ◽  
Huajie Hong ◽  
Guilin Jiang ◽  
Haipeng Gu
Keyword(s):  
Manufacturing Process ◽  
Detection System ◽  
Analysis Method ◽  
Process Improvements ◽  
Deviation Analysis ◽  
Photoelectric Detection ◽  
Key Performance Index ◽  
Typical Type ◽  
Aerial Vehicle ◽  
Assembly Error

A photoelectric detection system is a typical type of device widely used for detecting purposes based on unmanned aerial vehicles (UAV). Stability accuracy is the key performance index. Compared to traditional analysis methods aimed at unpredictable error-causing sources, assembly errors can be easily controlled during the manufacturing processes. In this research, an analysis method of assembly error effect on stability accuracy is proposed. First, by using kinematics analysis of homogeneous coordinate transformation, stability accuracy is comprehensively modeled and simulated. Then, by analyzing the manufacturing process, assembly errors of axis perpendicularities, run-outs and gyroscopes are defined and modeled. By simulating different carrier movements, the effects caused by assembly errors under various environments are studied. Finally, error sensitivity is proposed by using standard deviation analysis. Results show that the most sensitive assembly errors are identified, and ranked in order of sensitivity as follows: x-component of pitch axis perpendicularity, y-component of the azimuth gyroscope assembly, and z-component of the pitch gyroscope assembly. In conclusion, the results can be used as standards of manufacturing process improvements, and the proposed methods can be used to provide valuable references for real application scenarios.

An Analytical Model to Estimate the Optimum Production Rate of Picking Processes in a Modular Warehouse Environment

2011 ◽  
pp. 188-211
Author(s):  
Dimitrios M. Emiris ◽  
Athanasios Skarlatos
Keyword(s):  
Performance Measures ◽  
Analytical Framework ◽  
Parametric Model ◽  
Order Picking ◽  
Performance Measurements ◽  
Abc Analysis ◽  
The Many ◽  
The Cost ◽  
Optimum Production

One of the most important, complicated and expensive processes in a warehouse is order-picking. The cost associated with order preparation and picking typically varies between 40% and 60% of the total cost of all the processes in a warehouse; therefore, improving the productivity in order picking would result directly in cost reduction. In any attempt to reduce costs in order picking, one has to take into account: (i) the design of the warehouse so that the pickers’ work may be controlled at all instances, (ii) the existence of standards on the pickers’ work so that performance measurements may be compared and contrasted reliably, and (iii) the analysis of the phases of the picking process so that the pickers’ productivity may be measured and maximized. Such a series of concerns and parameters leads to the necessity of developing a mathematical parametric model which may serve as a useful tool for the warehouse manager in his efforts to not only measure productivity but also to intervene in the process and proceed to improvements. The present work deals with the development of such an analytical parametric model for the order picking process in a modular warehouse. The research attempts to address and solve three distinct, yet relevant, areas of focus: (i) to produce a generic and analytical framework to model the order picking process, (ii) to define practical and easy to adopt performance measures for the order picking process, and (iii) to provide the tools for a warehouse manager to set goals, measure performance and identify areas of improvement in his areas of responsibility. In addition to these, the research sets the foundations to further expand on other warehouse processes, such as loading/unloading, products receipt, etc., that supersede the boundaries of order picking. The analysis is corroborated by a real case study, among the many monitored in a pragmatic setup, accompanied by ABC analysis of the warehouse operation and a presentation of a fair frame to measure workers’ performance.

Measured Performance of Two-Stage Centrifugal Compressor Under Wet Gas Conditions

2012 ◽  
Author(s):  
Matteo Bertoneri ◽  
Simone Duni ◽  
David Ransom ◽  
Luigi Podestà ◽  
Massimo Camatti ◽  
...  
Keyword(s):  
Centrifugal Compressor ◽  
Oil And Gas ◽  
Pressure Ratio ◽  
Oil And Gas Industry ◽  
Liquid Volume ◽  
Performance Measurements ◽  
Two Stage ◽  
Gas Industry ◽  
Discharge Temperature ◽  
Wet Gas

The oil and gas industry is moving forward to access the most remote gas reserves and enhance the exploitation of the existing installation or postponing their tail-end. To achieve these accomplishments several technology challenges are being unveiled. In topside upstream application both offshore and onshore, one important technology issue is the capability to compress gas with a significant amount of liquids and it assumes a special interest in case of the facilities revamping. Nevertheless is in the subsea environment where this technology issue becomes really challenging. In order to properly design and size a compressor/motor system for subsea wet gas compression, one must be able to adequately predict the compressor performance with mixed phase flow. This paper presents the results from an experimental test program which investigated the performance of a centrifugal compressor at various wet gas conditions with elevated suction pressure. Performance tests are completed on a two stage centrifugal compressor with a mixture of air and water at suction pressures of 20 bar (300 psi). The compressor is subjected to flow with liquid volume fractions ranging from 0 to 5% along three speedlines. The performance measurements are made in accordance with ASME PTC-10 specifications with an additional torque measurement on the shaft between the compressor and gearbox. At each test condition, once the liquid is injected in the air flow, an increase in pressure ratio occurs. This testifies the compressor is still able to work in presence of water. However, increasing the amount of liquid injected a decreased polytropic head together with an increased absorbed actual power by the compressor cause a deterioration of its efficiency. Moreover when liquid is introduced into the flow, the discharge temperature of the compressor reduces significantly. The performance results and trends mentioned above are reviewed in the detail in this paper.

scholarly journals Technoeconomic Evaluation of Recent Process Improvements in Production of Sugar and High-Value Lignin Co-Products via Two-Stage Cu-Catalyzed Alkaline-Oxidative Pretreatment

2021 ◽  
Author(s):  
Zhaoyang Yuan ◽  
Bryan D. Bals ◽  
Eric L. Hegg ◽  
David B. Hodge
Keyword(s):  
Raw Material ◽  
Selling Price ◽  
Two Stage ◽  
Lignin Valorization ◽  
Process Improvements ◽  
Technoeconomic Analysis ◽  
High Sugar ◽  
Metal Catalyzed ◽  
High Yields ◽  
Pretreatment Technology

Abstract Background A lignocellulose-to-biofuel biorefinery process that enables multiple product streams is recognized as a promising strategy to improve the economics of this biorefinery and to accelerate technology commercialization. We recently identified an innovative pretreatment technology that enables of the production of sugars at high yields while simultaneously generating a high-quality lignin stream that has been demonstrated as both a promising renewable polyol replacement for polyurethane applications and is highly susceptible to depolymerization into monomers. This technology comprises a two-stage pretreatment approach that includes an alkaline pre-extraction followed by a metal-catalyzed alkaline-oxidative pretreatment. Our recent work demonstrated that H2O2 and O2 act synergistically as co-oxidants during the alkaline-oxidative pretreatment and could significantly reduce the pretreatment chemical input while maintaining high sugar yields, high lignin yields, and improvements in lignin usage. Results This study considers the economic impact of these advances and provides strategies that could lead to additional economic improvements for future commercialization. The results of the technoeconomic analysis (TEA) demonstrated that adding O2 as a co-oxidant at 50 psig for the alkaline-oxidative pretreatment and reducing the raw material input reduced the minimum fuel selling price from $1.08/L to $0.85/L, assuming recoverable lignin is used as a polyol replacement. If additional lignin can be recovered and sold as more valuable monomers, the minimum fuel selling price (MFSP) can be further reduced to $0.73/L. Conclusions The present work demonstrated that high sugar and lignin yields combined with low raw material inputs and increasing the value of lignin could greatly increase the economic viability of a poplar-based biorefinery. Continued research on integrating sugar production with lignin valorization is thus warranted to confirm this economic potential as the technology matures.

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