2009
DOI: 10.1016/j.measurement.2008.11.001
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Experimental and dimensional characterization of a prototype piston-cylinder unit and validation using finite element analysis (FEA)

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Cited by 4 publications
(3 citation statements)
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“…where P 1 is the applied pressure and P 2 is the pressure at the top of the engagement length, u(x) is the piston deviation, U(x) is the cylinder deviation, h o is the initial clearance between piston-cylinder unit and r p o is the undistorted radius of the piston [16]. Figure 4 shows a view of piston-cylinder clearance; with indication of radial changes between the piston and cylinder in their engagement length (defined as the coupling length of piston and cylinder between x = 0 and x = l).…”
Section: Calculation Detailsmentioning
confidence: 99%
“…where P 1 is the applied pressure and P 2 is the pressure at the top of the engagement length, u(x) is the piston deviation, U(x) is the cylinder deviation, h o is the initial clearance between piston-cylinder unit and r p o is the undistorted radius of the piston [16]. Figure 4 shows a view of piston-cylinder clearance; with indication of radial changes between the piston and cylinder in their engagement length (defined as the coupling length of piston and cylinder between x = 0 and x = l).…”
Section: Calculation Detailsmentioning
confidence: 99%
“…Many reports have been published on the calculation of the effective area dimensionally and calculated the uncertainty using MCM and LPU. However, none of them compared the values of effective area and uncertainty calculated from the dimensional, MCM, and LPU methods [7,[25][26][27][28][29]. After the invention of MCM, metrology scientists and many industries as well have been using MCM to calculate the uncertainty [25,30].…”
Section: Introductionmentioning
confidence: 99%
“…This fact has caused the use of simulation to be extended to different phases of new product development. Thus, for example, FEM has been used in the early stages of conceptual design (Husslage et al, 2003), in the detailed design phase (Ko, 2013) and even in the functional testing and validation of the product after the first prototype has been manufactured (Yagmur and Bagli, 2009). In like fashion, optimization techniques that are based on genetic algorithms (GAs) have been used in combination with the FEM to identify the most important parameters of the materials (Lostado et al, 2011) and to optimize mechanical components (Corriveau et al, 2010).…”
Section: Introductionmentioning
confidence: 99%