LEADER 06640nam 22007455 450 001 9910254201503321 005 20230717171345.0 010 $a3-662-48465-X 024 7 $a10.1007/978-3-662-48465-4 035 $a(CKB)3780000000094109 035 $a(EBL)4216863 035 $a(SSID)ssj0001597201 035 $a(PQKBManifestationID)16296539 035 $a(PQKBTitleCode)TC0001597201 035 $a(PQKBWorkID)14885834 035 $a(PQKB)10363827 035 $a(DE-He213)978-3-662-48465-4 035 $a(MiAaPQ)EBC4216863 035 $a(PPN)19088360X 035 $a(EXLCZ)993780000000094109 100 $a20151222d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCoordinate Metrology $eAccuracy of Systems and Measurements /$fby Jerzy A. S?adek 205 $a1st ed. 2016. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2016. 215 $a1 online resource (472 p.) 225 1 $aSpringer Tracts in Mechanical Engineering,$x2195-9870 300 $aDescription based upon print version of record. 311 $a3-662-48463-3 320 $aIncludes bibliographical references at the end of each chapters. 327 $aContents; 1 Introduction; Abstract; References; 2 Measurement Uncertainty and Requirements of Production System. Selected Issues of Measurement Uncertainty Theory; Abstract; 2.1 Coordinate Measurement During Production Process; 2.2 Measurement Uncertainty; 2.3 Vector Concept of Describing Coordinate Measurement Accuracy: Measuring Point Reproducibility Error; 2.4 Coordinate Measurement Uncertainty and Regulatory Requirements; References; 3 Classic (Nonsimulative) Methods of Measurement Accuracy Assessment; Abstract; 3.1 Method Using the Calibrated Object or the Standard 327 $a3.2 Noncalibrated Object Method (Multiposition Method)3.2.1 Measurement of an Object Characteristic; 3.2.2 Measurements of Length Standards; 3.2.3 Measurement of Diameter Standards; 3.2.4 Calculation of the Value of Measured Object Characteristic; 3.2.5 Calculation of Measurement Uncertainty; 3.2.6 Calculation of the Uncertainty Component urep; 3.2.7 Calculation of Uncertainty Component ugeo; 3.2.8 Calculation of Uncertainty Component ucorrL; 3.2.9 Calculation of Uncertainty Component of Length Change Derived from Thermal Influences 327 $a3.3 Monte Carlo Method for Uncertainty Determination in Multiposition and Substitution Method3.4 Determination of Uncertainty of Freeform Profile Measurement; 3.5 Measurement Uncertainty Estimation for Calibrations Based on Error Source Identification: Error Budget; 3.5.1 Uncertainty Budget for the Calibration Procedure of the Plate Standard (Hole Plate) Calibrated on PMM12106 Leitz Machine; 3.5.2 Thermodynamic Model; 3.5.3 Description of the Hole Plate Calibration Procedure; 3.6 Methods Based on Relations Resulting from the Model of Maximum Permissible Errors of Coordinate Measuring System 327 $a3.7 Analytical Method of Measurement Uncertainty Determination3.7.1 Geometric Error Model; 3.7.2 Measurement Models; 3.7.3 Measurement Uncertainty as a Complex Uncertainty; 3.7.4 Estimation of Maximum Value for the Geometric Error Difference; 3.7.5 Software; 3.7.6 Particular Stages in the Operating Software; References; 4 Analysis of the Accuracy of Coordinate Measuring Systems; Abstract; 4.1 Sources and Causes of Coordinate Measuring Machine Errors; 4.2 Identification and Software Correction of Measuring Machine Errors 327 $a4.2.1 Determination of Geometric Errors of the Measuring Machine Using the Laser Interferometer4.2.2 PTB Method Using Plate Standard for Geometric Errors of Coordinate Measuring Machine Identification; 4.2.3 Identification of Geometric Errors Using Laser Tracker Systems and Multilateration Method; 4.3 Error Sources of Point Coordinates Contact Acquisition System---Probe Head Error Function; 4.3.1 Analysis of Error Sources and Causes: Probe Head Error Function (PEF); 4.3.2 Contact Probe Head Error Tests; 4.4 Matrix Method (MM) of CMM Accuracy Identification; 4.4.1 Idea of the MM Method 327 $a4.4.2 Connection of MM Method with Reproducibility Error of Measuring Point (REMP) 330 $aThis book focuses on effective methods for assessing the accuracy of both coordinate measuring systems and coordinate measurements. It mainly reports on original research work conducted by Sladek?s team at Cracow University of Technology?s Laboratory of Coordinate Metrology. The book describes the implementation of different methods, including artificial neural networks, the Matrix Method, the Monte Carlo method and the virtual CMM (Coordinate Measuring Machine), and demonstrates how these methods can be effectively used in practice to gauge the accuracy of coordinate measurements. Moreover, the book includes an introduction to the theory of measurement uncertainty and to key techniques for assessing measurement accuracy. All methods and tools are presented in detail, using suitable mathematical formulations and illustrated with numerous examples. The book fills an important gap in the literature, providing readers with an advanced text on a topic that has been rapidly developing in recent years. The book is intended for master and PhD students, as well as for metrology engineers working at industrial and research laboratories. It not only provides them with a solid background for using existing coordinate metrology methods; it is also meant to inspire them to develop the state-of-the-art technologies that will play an important role in supporting quality growth and innovation in advanced manufacturing. 410 0$aSpringer Tracts in Mechanical Engineering,$x2195-9870 606 $aManufactures 606 $aMeasurement 606 $aMeasuring instruments 606 $aComputational intelligence 606 $aMachines, Tools, Processes 606 $aMeasurement Science and Instrumentation 606 $aComputational Intelligence 615 0$aManufactures. 615 0$aMeasurement. 615 0$aMeasuring instruments. 615 0$aComputational intelligence. 615 14$aMachines, Tools, Processes. 615 24$aMeasurement Science and Instrumentation. 615 24$aComputational Intelligence. 676 $a389.1015195 700 $aS?adek$b Jerzy A$4aut$4http://id.loc.gov/vocabulary/relators/aut$0788053 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254201503321 996 $aCoordinate Metrology$91756515 997 $aUNINA