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조종래,정윤교,원종식 창원대학교 공작기계기술연구센터 1999 연구업적집 Vol.1 No.1
This paper investigates the relationship between cutting conditions and Acoustic Emission(AE) signals; AEavg, AErms, AEmode, as the base working to monitor the tool wear with in-process. For this purpose. cutting tests were conducted on a CNC lathe with comprehensive cutting conditions. It is known that AEavg and AErms are increased as the increasing of cutting velocity and depth of cut respectively. The new parameters, derived from AEavg and AErms, which may be used for the in-process detection of tool wear is discussed. It is also known that AEmode may also be applied for in-process monitoring to make the self diagnosis system because of its stability to the variation of cutting conditions.
안광주,박일주,최재강,원종식 東義大學校産業技術開發硏究所 1993 産業技術硏究誌 Vol.7 No.-
IIn this paper, the elastic-plastic fracture toughness J₁c of a structural steel SS41 was discussed. The main efforts were focussed on the comparison of the J₁c values determined by the ASTM R-curve method, the JSME R-curve method, the ASTM partial unloading compliance method, and impact test method. In parallel with this efforts, however, measurements were also made simulaneously to detect the relationship between △aASTM,△aJSME and △a21. The results obtained are as follows ; 1) A relation between △aASTM,△aJSME and △a21 for each specimen shows that the following linear equation stands △aASTM=1.0533 △a21 △aJSME=1.4478 △a21 and it is ascertained that the △aASTM is a simple reliable method in the evaluation of crack extension. 2) In the ASTM E 813-81 R-curve method, the valid ?? values are obtained as JQ=165.18 kN/m, while on the other hand, in the ASTM E 813-88 method the JQ values are not obtained because there is no J-△a point between a line parallel to the blunting line at an offset of 1.0mm and the 1.5mm exclusion line. Hence, the ASTM E 813-81 R-curve method is more desirable than the ASTM E 813-88 R-curve method. 3) In the partial unloading compliance method, the JQ values obtained by E 813-81 and E 813-88 are more excessively estimated by 9.9% and 24.3% than those by the JSME R-curve method. On the other hand the J₁c values by the modified E 813-88 method which proposed by Carlson are fairly close to those by the JSME R-curve method. So the modified E 813-88 method is desirable to estimate the J₁c value of structural steel. 4) The J₁c values by the impact test method has 13% deviation from those by the ASTM E 813-81 R-curve method in SS41 specimens. However the impact test method also can be used as a reliable method in case the correction factor adopted.
선삭가공시 플랭크 마모에 따른 AE 신호와 절삭력의 거동에 관한 연구
원종식,정윤교,조종래 창원대학교 공작기계기술연구센터 1999 연구업적집 Vol.1 No.1
Automatic monitoring of cutting process is one of the most important technologies for increasing the stability and the reliability of unmanned manufacturing system, In this study, basic methods which use the acoustic emission (AE) signals and cutting forces were proposed to monitor flank wear (width of flank wear) quantitatively. First, in order to detect flank wear, it was investigated that the influence of cutting conditions, that is, cutting velocity, feed and depth of cut, on AE signals (AErms) and cutting forces. Futhermore, the relation between flank wear and the measured signals (AErms cutting force) was discussed.
FE-SEA기법을 이용한 차량 대시 패널의 구조-음향 해석
원종식(Jongsik Won),임효석(Hyosuck Lim),박광서(Kwangseo Park),김영호(Youngho Kim) 한국자동차공학회 2009 한국자동차공학회 학술대회 및 전시회 Vol.2009 No.11
The application of SEA(Statistical Energy Analysis) is very useful to predict 'high frequency' structuralacoustic coupled system over 400㎐. However, common SEA methods do not solve a noise problem due to complex structural vibration mode on objects that are not flat plate or simple curvature. Furthermore, SEA results are not reliable due to low modal density in the 'middle frequency' range. A number of methods to predict the mid-frequency noise problem have been developed, but these methods are not well established yet. This paper describes a hybrid FESEA method using the FE mesh model suitably correlated with an experiment modal test result. And the sound transmission loss(STL) of a vehicle dash panel is calculated with a structural stiffness and resonance effect.