CASE STUDY IN INVESTIGATION OF ACCURACY OF HOLE DRILLING

Similar documents
Optimization Of Process Parameters In Drilling Using Taguchi Method

VOL. 11, NO. 2, JANUARY 2016 ISSN

Optimization of Process Parameters in CNC Drilling of EN 36

CHAPTER 5 EXPERIMENTAL AND STATISTICAL METHODS FOR DRILLING

Optimization of Machining Parameters in Wire Cut EDM of Stainless Steel 304 Using Taguchi Techniques

TRACEABILITY STRATEGIES FOR THE CALIBRATION OF GEAR AND SPLINE ARTEFACTS

Height Master Page 343. Check Master Page 347. Calibration Tools Page 352

Optimization of Machining Process Parameters in Drilling of

RESEARCH PAPERS FACULTY OF MATERIALS SCIENCE AND TECHNOLOGY IN TRNAVA SLOVAK UNIVERSITY OF TECHNOLOGY IN BRATISLAVA

PRO LIGNO Vol. 11 N pp

CRYSTA-APEX C. The modular system for 3D CNC coordinate measurement in the production environment. Quick, versatile and high performing.

Optimization of Radial Force in Turning Process Using Taguchi s Approach

Modeling and Optimization of Milling Process by using RSM and ANN Methods

APPLICATION OF GREY RELATIONAL ANALYSIS TO MACHINING PARAMETERS DETERMINATION OF WIRE ELECTRICAL DISCHARGE MACHINING

Drilling of carbon fibre reinforced laminates a study

Project PAJ2 Dynamic Performance of Adhesively Bonded Joints. Report No. 3 August Proposed Draft for the Revision of ISO

Determining Machining Parameters of Corn Byproduct Filled Plastics

OPTIMIZATION ON SURFACE ROUGHNESS OF BORING PROCESS BY VARYING DAMPER POSITION

Influence of cutting parameters on thrust force and torque in drilling of E-glass/polyester composites

STATISTICAL PROCESS CONTROL - THE IMPORTANCE OF USING CALIBRATED MEASUREMENT EQUIPMENT. CASE STUDY

MODELLING OF TOOL LIFE, TORQUE AND THRUST FORCE IN DRILLING: A NEURO-FUZZY APPROACH

Optimization of Machining Parameters in ECM of Al/B4C Composites Using Taguchi Method

IASF/ASF. New Generation Face Mill Dramatically Reduces Roughing Time FEATURES

A STUDY OF THE ACCURACY OF THE MICRO ELECTRICAL DISCHARGE MACHINING DRILLING PROCESS

Uncertainty of the Measurement of Radial Runout, Axial Runout and Coning using an Industrial Axi-Symmetric Measurement Machine

A METHOD FOR FINE TUNING THE MEMBERSHIP GRADES ASSIGNED BY EXPERTS: AN APPLICATION

OPTIMIZATION OF MACHINING PARAMETERS USING DESIRABILITY FUNCTION ANALYSIS AND ANOVA FOR THERMO-MECHANICAL FORM DRILLING

Determination of Machining Parameters of Corn Byproduct Filled Plastics

Optimization of WEDM Parameters for Super Ni-718 using Neutrosophic Sets and TOPSIS Method

Uncertainty Analysis of Experimental Data and Dimensional Measurements

Wall-Slip of Highly Filled Powder Injection Molding Compounds: Effect of Flow Channel Geometry and Roughness

Course: Technology II Training course topic: Metrology

Effective Measurement Method of Thermal Deformation of Machine Tools Caused by Linear Axis Motion

GAGE STUDIES FOR VARIABLES AVERAGE AND RANGE METHOD

Determination of optimum parameters on delamination in drilling of GFRP composites by Taguchi method

Coordinate Measuring Machines Coordinate INDEX Measuring Machines Coordinate Measuring Machines New Products

Drilling Mathematical Models Using the Response Surface Methodology

10 vol. XVII no. 8 (2012) METALURGIA INTERNATIONAL

Measuring System Analysis in Six Sigma methodology application Case Study

MATHEMATICAL MODEL FOR DRILLING CUTTING FORCES OF 40CrMnMoS8-6 STEEL

Finite element analysis of drilled holes in uni-directional composite laminates using failure theories

EXPERIMENTAL INVESTIGATION OF HIGH SPEED DRILLING OF GLASS FIBER REINFORCED PLASTIC (GFRP) COMPOSITE LAMINATES MADE UP OF DIFFERENT POLYMER MATRICES

Effect of Machining Parameters on Milled Natural Fiber- Reinforced Plastic Composites

Widening of 10NiCr180 Stainless Steel Process Simulation and Cutting Torque Mathematical Models

University of Huddersfield Repository

Krantz Components. Variable twist outlet with guide ring DD-VL... jet straightener DD-VG... Air distribution systems

Session XI. Process Capability

Process optimization of PCB Micro-Drilling Process

Experimental Investigation and Analysis of Machining Characteristics in Drilling Hybrid Glass-Sisal-Jute Fiber Reinforced Polymer Composites

D.B.Kawadkar 1, Dr.D.V.Bhope, 2 S.D. Khamankar 3

TOOL GEOMETRY EVALUATION FOR CARBON REINFORCED COMPOSITE LAMINATES

Ackred. nr 1678 Kalibrering ISO/IEC 17025

Available online at ScienceDirect. Andrej Godina*, Bojan Acko

THE IMPACT OF ALIGNMENT CONDITION IN THE MEASURING PLAN BY USING THE SOFTWARE CALYPSO ON THE REPEATABILITY OF MEASURED VALUES

M A C H I N E L I S T - P R O D U C T I O N P R O C E S S E S

INFLUENCE OF TOOL NOSE RADIUS ON THE CUTTING PERFORMANCE AND SURFACE FINISH DURING HARD TURNING WITH CBN CUTTING TOOLS 1.

MATERIALS AND METHODS

Effect of object-to-camera distance on temperature and spatial resolution of a Thermal imaging system FLIR SC 5000

AF SERIES AWEA MECHANTRONIC CO., LTD. High Performance Vertical Machining Center AGENT ISO 9001 ISO 14001


Some Results on the Factor of the Surface Details When Turning C40 Steel Current

A hybrid Measurement Systems Analysis and Uncertainty of Measurement Approach for Industrial Measurement in the Light Controlled Factory

Application of Gauge R&R Methods for Validation of Analytical Methods in the Pharmaceutical Industry

MULTI-RESPONSE ANALYSIS OF ELECTRO-CHEMICAL MACHINING PROCESS USING PRINCIPAL COMPONENT ANALYSIS

Journal bearing performance and metrology issues

Modeling of Wire Electrical Discharge Machining of AISI D3 Steel using Response Surface Methodology

THE ACCURACY ANALYSIS OF THE ROUNDNESS MEASUREMENT WITH COORDINATE MEASURING MACHINES

Optimization of delamination factor in drilling of carbon fiber filled compression molded GFRP composite

Drilling Uni-Directional Fiber-Reinforced Plastics Manufactured by Hand Lay-Up: Influence of Fibers

SIMULATION FOR INSTABLE FLOATING OF HYDRODYNAMIC GUIDES DURING ACCELERATION AND AT CONSTANT VELOCITY 1. INTRODUCTION

Statistical modeling with backward propagation of variance and covariance equation

Failure analysis of serial pinned joints in composite materials

Application of a Multi-Criteria-Decision-Making (MCDM) Method of TOPSIS in Drilling of AA6082

GB. Spring loaded full lift safety valve flanged, with open bonnet Series PV61-1-

SLOPE STABILITY (LIMIT EQUILIBRIUM) ANALYSIS (27)

ENERGY DISTRIBUTION ANALYSIS IN A LOW HEAD FRANCIS TURBINE DURING THERMODYNAMIC EFFICIENCY MEASUREMENTS

Investigation into the Effects of Process Parameters on Surface Roughness in Drilling of BD-CFRP Composite Using HSS Twist Drills

High Speed Turning of Titanium (Ti-6Al-4V) Alloy. Anil Srivastava, Ph.D. Manager, Manufacturing Technology TechSolve, Inc., Cincinnati, OH 45237

Increasing of the Stern Tube Bushes Precision by On-Line Adaptive Control of the Cutting Process

ECM PROCESS CHARACTERISTICS

Thermal Deformation Prediction in Machine Tools by Using Transfer Functions

On machine measurements of electrode wear in micro EDM milling

Krantz. Variable twist outlet with guide ring DD-VL... jet straightener DD-VG... Air distribution systems

Hard metal for the tool and die industry

VERIFICATION OF TAPPING MACHINES. Håkan Andersson

Mr. Harshit K. Dave 1, Dr. Keyur P. Desai 2, Dr. Harit K. Raval 3

BEST ESTIMATE PLUS UNCERTAINTY SAFETY STUDIES AT THE CONCEPTUAL DESIGN PHASE OF THE ASTRID DEMONSTRATOR

Mookambigai College of Engineering, Pudukkottai, Tamil Nadu, India

Industrial Engineering and Ergonomics

New Mathematical Models of Axial Cutting Force and Torque in Drilling 20MoCr130 Stainless Steel

Structural Dynamic Behavior of a High-Speed Milling Machine

Position measurement in CNC machines: rotary encoder versus linear transducer, how to cope with the thermal problems

Available online at ScienceDirect. Procedia CIRP 31 (2015 ) th CIRP Conference on Modelling of Machining Operations

RESPONSE SURFACE ANALYSIS OF EDMED SURFACES OF AISI D2 STEEL

This annex is valid from: to Replaces annex dated: Location(s) where activities are performed under accreditation

Designation: D (Reapproved 2009)

Rotating Bending with Constant Torsion and Rotated Bending with Constant or Variable Torsion

CHAPTER 6 MACHINABILITY MODELS WITH THREE INDEPENDENT VARIABLES

Influence of Input Parameters on Characteristics of Electro Chemical Machining Process

1.0 Continuous Distributions. 5.0 Shapes of Distributions. 6.0 The Normal Curve. 7.0 Discrete Distributions. 8.0 Tolerances. 11.

Transcription:

CASE STUDY IN INVESTIGATION OF ACCURACY OF HOLE DRILLING MIKÓ, Balázs ; DRÉGELYI-KISS, Ágota, Associate professor, PhD Óbuda University, Bánki Donát Faculty of Mechanical and Safety Engineering, Abstract The determination of the machine capability index is an appropriate method to assess the accuracy of the machining devices in a real production situation. It can help to determine the right tolerance zone from the viewpoint of production and develop and compare the manufacturing technologies. The article presents a case study related to the investigation of hole drilling. Keywords: Hole drilling; Machine capability index INTRODUCTION The aim of the tolerances is to define the allowed manufacturing errors, which depends on the work of the machine part; the details of manufacturing technology, like tool, machining parameters, machine tool, fixture; and the measuring technology. During the manufacturing process planning two demands have to be harmonized: the required value of the tolerances and the capability of the manufacturing equipments. The machine capability indexes (C m, C mk ) are the tool for solve this problem. Hong [] use this method to evaluate machining properties of a vertical machining centre. The investigated part was a complex specimen according to ISO 0797-7A standard and 5 pieces were produced. Wanare and Gudadhe [] classify a vertical machining centre based machine capability index calculated on hole distance of 0 pieces of swing lever. It was concluded that the C m and C mk indexes are suitable for complex investigation of accuracy of the machining equipments and technology. The aim of the machine capability index is to assess the state of the manufacturing device and technology. The index is derived from short term continuous, uninterrupted production. The index is calculated based on investigation of 50...00 products. The index is: USL LSL C m = () 6 σ FTH µ µ ATH C mk = MIN ; () 3 σ 3 σ where USL is the upper specification limit, LSL is the lower specification limit, σ is the theoretical standard deviation, µ is the theoretical expected value [3]. The C m index shows how the manufacturing process satisfies the tolerance zone, and the C mk shows where takes places the mean value within the specification zone. DOI: 0.669/musci.05.059

The theoretical standard deviation and expected value can be estimated in various ways []. The expected mean value can be estimated by the mean value of all measured data ( ˆ µ = x = xi ) (N: total number of N samples the median value of the set ( ˆ µ ~ = x ). The median is the middle number in a sequence of units, the calculated value from the distribution ( ˆ µ 3 = X 50% mathematically the next expression, the mean values of the 5 elements (n=5) averages (m is the number of small groups) is equal with the first one ( ˆ µ = x = xi m the mean value of the 5 elements medians ( ~ ˆ5 µ = x ). The expected deviation can be estimated by the mean value of the subsets standard deviations ( ˆ σ = s / c the c coefficients depend on the number of subset s elements (Table the mean value of the subsets ranges. The range is the difference between the highest and lowest values ( ˆ σ 3 = R / d the d coefficients depend on the number of subset s elements (Table the value of the standard deviation for all data: i = ( xi x) N ˆ σ = s = N (3) the calculated value from the distribution. Table d and c coefficients n 3 5 6 7 8 9 0 d.8.693.059.36.53.70.87.970 3.078 c 0.798 0.886 0.9 0.90 0.95 0.959 0.965 0.969 0.973 Based on the value of the index the machine capability can be evaluated: Criterion C m,c mk <.00 Grade Not capable.00< C m,c mk <.33 Barelly capable.33< C m,c mk <.50 Satisfactory.50< C m,c mk <.00 Good.00< C m,c mk Excellent In this project a twist drilling process was investigated in order to collect information about the capability of a CNC machining centre and the twist drilling technology. This case study presents the differences between the different estimation methods which is used in determination of machine capability index.

MATERIALS AND METHODS The manufacturing of the test parts were performed in a MAZAK 0A-II CNC machining centre. The test parts were made of CrMo steel (.75; 300 HB, R m 000 MPa). 50 holes were drilled to two mm thick test parts. The holes were drilled by a 6 mm diameter HSSCo twist drill with TiAlN coating from Gühring. The cutting conditions were: cutting speed: v c = 30 m/min, revolution: n = 590 /min, feed: f = 0.08 mm, feed speed: v f = 7 mm/min. Two tests were performed (signed by A and B the cutting conditions were same, but in the first case (A) centre drilling and cooling were not applied. The diameter of the holes was measured by a Mitutoyo PJ-H3000F profile projector at the entrance (Side ) and the exit (Side ) level with four points by least squares method (Gaussian regression). The specification for the diameter of the drilled hole is as follows: LSL=6.00 mm; USL=6.5 mm. The surface roughness and the profile of the holes were measured by a Mahr- Perthen Concept D/3D surface roughness measurement equipment. RESULTS Figure Profile projector and measuring method The measured data are shown in Figure. It can be seen that there are differences between the measured diameter values being in the entrance of the hole (Side ) related to the diameters which are in the exit side (Side ). The diameters are much smaller in case of Test B, where centre drilling and cooling also have been applied. The measured diameters in case of the first test (A in side do not fulfil the criteria.

6,5 Side 6, Diameter [mm] 6,3 6, 6, USL=6.5 mm 6,0 LSL=6 mm Test A B Figure Box plot of the measured values Figure 3 The values of mean, standart deviation and the range The effect of the centre drilling is well discernible in Figure 3. The mean diameter of the first set is 6.9 mm in the entrance side (A.). The mean value of the second set, where centre drilling was applied, is 6.06 mm. The diameters become smaller through the hole, at the exit surface the mean diameters are smaller in both tests. The standard deviation and the range show similar tendencies, in case of first set the deviation and the range are larger at the start level, cause of the uncertain drive of

the twist drill. At the second set (B the uncertainty is smaller, thanks to the centre drilling, the diameter is more accurate, but the deviation increases at the exit surface. These differences are shown in the Figure. This difference is well shown in the Figure 5 too, which contains the results of profile scanning. The range of the profile in case of Test A is about 50 µm, which matches to the measured diameter. In case of Test B the profile range is only 5 µm. Figure Photos of a hole from Test A and Test B Figure 5 The profile section of the holes MACHINE CAPABILITY INDEX The Figure 3 shows the minimum, maximum and mean values of diameters compare with different tolerance zones. As it can be seen the target tolerance zone can be between IT0 and IT. In the current calculation Ø6H (+0.5/0) tolerance was selected. The machine capability index can indicate our possibilities in define the tolerance zone consider the production. In order to calculate machine capability index, the expected value and the standard deviation are estimated. Table shows the calculated values. The different estimation methods result in different, but close values.

Table The different values of mean and deviation Mean value Deviation 5 ˆ σ ˆ σ A. 6.93 6.80 6.75 0.0 0.05 0.05 A. 6.08 6.095 6.085 0.0059 0.006 0.0065 B. 6.063 6.080 6.07 0.0080 0.0083 0.00 B. 6.09 6.0 6.00 0.073 0.07 0.085 In case of Test A (A., A.) based on C m indexes show (Table 3 than the tolerance range can be satisfied, the values are larger than.50, but the C mk indicates the large mean value at A.. Table 3 The values of C m and C mk indexes A. ˆ σ ˆ σ A. ˆ σ ˆ σ C m.77.73.66 C m.3.07 3.83 C mk -6.3-6. -5.96 C mk 6.85 6.59 6. -6.3-6.8-5.93 6.79 6.53 6.6 5-6.30-6.7-5.9 5 6.8 6.59 6. C mk 9.87 9.68 9.8 C mk.60.5.5 9.8 9.65 9.5.66.60.5 5 9.83 9.63 9. 5.6.55.6 C mk -6.3-6. -5.96 C mk.60.5.5-6.3-6.8-5.93.66.60.5 5-6.30-6.7-5.9 5.6.55.6 B. ˆ σ ˆ σ B. ˆ σ ˆ σ C m 3.3 3.0.0 C m.5.6.35 C mk.3.6 3.3 C mk.53.56.36.6.0 3.7.8.5.3 5.9.3 3.9 5.5.53.3 C mk.93.86.9 C mk 0.37 0.37 0.3.00.93.5 0. 0. 0.39 5.97.90.5 5 0.39 0.39 0.36 C mk.93.86.9 C mk 0.37 0.37 0.3.00.93.5 0. 0. 0.39 5.97.90.5 5 0.39 0.39 0.36 The results of Test B are better thanks to the centre drilling and cooling. The tolerance zone can be satisfied, the C m indexes larger than at the entrance side, but

there are between.33 and.50 at the exit surface. The C mk at the exit surface shows poor result, thanks to the worst standard deviation and range. CONCLUSION The different estimation methods result different C m and C mk values. In order to clear comparison the appropriate method has to be defined during the process planning. The method can help to determine the right tolerance zone from the viewpoint of production and develop and compare the manufacturing technologies. By means of them the results of the development of the manufacturing technology can be measured. REFERENCES [] HONG, WON-PYO: Machine capability index evaluation of machining center; Journal of Mechanical Science and Technology Vol.7 No.0 (03): 905-90. [] WANARE, S.P. GUDADHE M.V.: Performance analysis of vertical machining center through process capability; Int. J. of Innovations in Engineering and Technology (IJIET) Vol. No. (03): 98-07 [3] DIETRICH, E. SCHULZE, A.: Statistical procedures for machine and process qualification, ASQ Quality Press, 999 [] ISO 77:006: Statistical methods - Process performance and capability statistics for measured quality characteristics