• Title/Summary/Keyword: Mold steel

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Spark Plasma Sintering of the Ductile Cu-Gas-atomized Ni Bulk Metallic Glass Composite Powders (연질 Cu 분말-가스분무 Ni계 벌크 비정질 복합분말의 방전플라즈마 소결에 관한 연구)

  • Kim, Jin-Chun;Kim, Yong-Jin;Kim, Byoung-Kee;Kim, Ji-Soon
    • Journal of Powder Materials
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    • v.13 no.5 s.58
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    • pp.351-359
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    • 2006
  • Ni based($Ni_{57}Zr_{20}Ti_{18}Si_2Sn_3$) bulk metallic glass(BMG) powders were produced by a gas atomization process, and ductile Cu powders were mixed using a spray drying process. The Ni-based amorphous powder and Cu mixed Ni composite powders were compacted by a spark plasma sintering (SPS) processes into cylindrical shape. The relative density varied with the used SPS mold materials such as graphite, hardened steel and WC-Co hard metal. The relative density increased from 87% to 98% when the sintering temperature increased up to $460^{\circ}C$ in the WC-Co hard metal mold.

Composition-property Relationships of Enamel Glass for Low Carbon Steel

  • Kang, Eun-Tae;Kim, Jong-Po;Cho, Yong-Hyun;Park, Seon-Mi
    • Journal of the Korean Ceramic Society
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    • v.50 no.3
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    • pp.186-194
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    • 2013
  • The relationship between composition and properties of enamel glass was investigated by introducing a mixture design. The enamel glass was manufactured by mixing various components under the following constraints: $45{\leq}SiO_2{\leq}55$, $10{\leq}B_2O_3{\leq}18$, $6{\leq}Na_2O{\leq}15$, $1{\leq}Li_2O{\leq}6$, $5{\leq}K_2O{\leq}10$, $0{\leq}TiO_2{\leq}8$, $0{\leq}ZrO_2{\leq}8$, 13.3MO (mol %). A mathematical model for the calculation of some properties of enamel glasses as a function of their composition was developed by the experimental statistical method. The results showed that the proposed model with the experimental measurement were in good agreement and the mixture experimental design was an effective method for optimizing the composition of the enamel glass with respect to its properties.

THE EFFECTS OF WAVELENGTH AND INTENSITY OF VISIBLE LIGHT ON THE CURING OF VISIBLE LIGHT CURED COMPOSITE RESIN (가시광선의 파장과 광도가 광중합형 복합레진의 경화에 미치는 영향)

  • Lee, Chae-Gyeong;Hur, Bok
    • Restorative Dentistry and Endodontics
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    • v.14 no.1
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    • pp.149-159
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    • 1989
  • The purpose of this study was to assess the effects of wavelength and intensity of light curing units on the curing of composite resin. The wavelength and intensity of nine units were evaluated with Optical Multichannel Analyzer and Radiometer. Two-part split stainless steel mold with a cylindrical hole-3.0mm in diameter, 6.0mm in hgieht-was prepared. After placing a Mylar strip between two parts, 100 specimens were made by inserting each of four composite resins into the mold and irradiating for 20 seconds with five light units alternatively. The curing depths were measured by scraping method and evaluated by two-way ANOVA. And Vicker's hardness measurements were made on the longitudinally sectioned surface at 0.5mm interval. The results were as follows: 1. Visilux 2 showed a narrow spectral band within the effective wavelength in initiating polymerization and the highest intensity. Translux showed the diffuse spectrum of wavelength and the lower light intensity. 2. Visilux 2 showed the highest curing effect in any composite resin and then followed by Optilux, Efos 35, Heliomat and Translux. (p < 0.01) 3. Durafill showed the deepest curing depth in any light unit and then followed by Bisfil M, Silux and Heliosit. (p < 0.01). 4. Maximum hardness values showed 0.1mm and 0.5mm under top surface and then gradually decreased with depth.

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Effect of Alloying Elements on Creep Behavior of Mg-Al Alloys (Mg-Al 합금의 크리프 거동에 미치는 합금원소의 영향)

  • Lim, Hyun-Kyu;Kim, Shae-K.;Kim, Do-Hyang
    • Journal of Korea Foundry Society
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    • v.32 no.1
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    • pp.44-49
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    • 2012
  • In this study, three magnesium alloys were investigated; those are 1.5wt.% CaO added AM80, 1.0wt.% CaO added AM60, and conventional MRI153 alloys. Test specimens of three alloys were prepared by re-melting and casting into steel mold with ingots and machining. The mechanical properties and the creep behavior at 150 degrees Celsius of these specimens were determined and their microstructures were characterized using OM and SEM. For the application to die-casting, fluidity test were carried out with spiral mold. Compared with 1.0wt.% CaO added AM60 alloy, 1.5wt.% CaO added AM80 alloy exhibited good creep properties in all test conditions. Moreover, CaO added alloys showed better creep properties than MRI153 alloy at lower load condition. It is proposed that 1.5wt.% CaO added AM80 alloy is useful to apply to power-train parts such as transmission case in vehicles.

Fatigue Assessment Using SPR and Adhesive on Dissimilar Materials (SPR 과 접착제를 이용한 이종재료 접합의 피로평가)

  • Kim, Tae-Hyun;Suh, Jeong;Kang, Hee-Shin;Lee, Young-Shin;Park, Chun-Dal
    • Journal of the Korean Society for Precision Engineering
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    • v.28 no.10
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    • pp.1204-1209
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    • 2011
  • In this study, fatigue life is evaluated by comparing with lighter car body through the experiment on SPR joints. An experimental activity on sheet metal samples of Aluminum 5J32 and Steel SPRC440 has been conducted to achieve better understanding of the process. In addition, SPR joint used less than the existing Spot Welding improves joint strength and fatigue life is evaluated by using SPR and adhesive joining Hybrid. Joining(bonding) strength and fatigue life on SPR and Hybrid (SPR + adhesive) are evaluated throughout the experiment. With joining strength than 20 % of the aluminum material, dissimilar materials has improved over 2 times as large as the strength In case of dissimilar materials, the fatigue life of aluminum is increased by 1.6 to 2.5 times as large as the life.

Characteristics of Surface Hardening of Nd:YAG Laser According to Temperature Changes of SM45C (SM45C강의 온도변화에 따른 Nd:YAG 레이저 표면경화 특성)

  • Lee, Ka-Ram;Yang, Yun-Seok;Hwang, Chan-Youn;Yoo, Young-Tae
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.21 no.6
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    • pp.988-997
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    • 2012
  • Laser surface hardening is one of core technologies to enhance various characteristics such as the strength, hardness, toughness, abrasion resistance, and fatigue resistance for the mold material. This paper focuses on testing characteristics of the laser heat treatment according to the preheating parameters in case of the SM45C medium carbon steel. In this paper, we assume that the power and travel speed of the laser are 1,800W and 0.5m/min, respectively, and the range of the preheating temperature is $50^{\circ}C{\sim}300^{\circ}C$. From the result of the test, we observed that the hardness width and depth are enhanced as the temperature is increased. Also, the best average hardness was 751.7Hv for the temperature of $100^{\circ}C$.

Prediction of Mechanical Properties with Different Cooling Rates of AC4CH Cast Aluminum Alloy and its Application in Computer Simulation (알루미늄 AC4CH 합금주물의 냉각속도 변화에 따른 기계적 물성 예측 및 전산모사 적용)

  • Lee, Byoung-Jun;Cho, In-Sung
    • Journal of Korea Foundry Society
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    • v.38 no.2
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    • pp.41-47
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    • 2018
  • In a numerical study, equations relating the mechanical properties and cooling rate in a casting process have been applied to an AC4CH cast aluminum alloy. Good agreement was found between the measured and predicted material properties. Step-shaped steel blocks were made to comprise a casting mold with a Y-shaped cavity. Thermometers were inserted into each step of the mold to investigate temperature changes. The microstructure and mechanical properties, such as hardness and tensile stress were measured for each cut of piece. The correlation between the cooling rate and SDAS was found by curved fitting. Moreover, both the solidification time and the temperature were simulated using a commercial package, ZCast. The simulation results for yield strength, tensile strength, elongation, and hardness were compared with experimental results. Using the estimated K and n values, the hardness values of a ship propeller were simulated, and the results were similar to those obtained for actual castings.

Machinability Evaluation of the Plastic Mould Steel using AlTiN Coated Tool (AlTiN코팅공구를 사용한 플라스틱금형강의 기계가공성 평가)

  • Lee, Seung-Chul;Cho, Gyu-Jae
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.18 no.6
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    • pp.629-635
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    • 2009
  • In this research, KP-4, one of the plastic mold steels, was coated with the AlTiN from one layer to four layers by the PVD method in the $\Phi$ 8mm cemented carbide ball end mill. Coated KP-4 was processed with various conditions. For example, slope of $15^{\circ}$, $30^{\circ}$ and $45^{\circ}$ the spindle rotation speed was changed from 10,000rpm to 16,000rpm, the tool feeding speed was changed from 1,300mm/min to 1,700mm/min, the depth of cut was also changed from 0.3mm to 0.9mm, and etc. Cutting component force according to the coating layer number, and surface roughness were studied. The cutting component force showed a good agreement better the up ward direction than the down ward direction under all experimental conditions. In case of the condition per the material shape, it was lessen when the tool have larger angle because the average effective diameter of the tool is larger. The surface roughness showed good condition in case of the up ward than the down ward direction. And, in the 3rd layer of AlTiN coating, it showed the most suitable condition.

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Real-Time Prediction for Product Surface Roughness by Support Vector Regression (서포트벡터 회귀를 이용한 실시간 제품표면거칠기 예측)

  • Choi, Sujin;Lee, Dongju
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.3
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    • pp.117-124
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    • 2021
  • The development of IOT technology and artificial intelligence technology is promoting the smartization of manufacturing system. In this study, data extracted from acceleration sensor and current sensor were obtained through experiments in the cutting process of SKD11, which is widely used as a material for special mold steel, and the amount of tool wear and product surface roughness were measured. SVR (Support Vector Regression) is applied to predict the roughness of the product surface in real time using the obtained data. SVR, a machine learning technique, is widely used for linear and non-linear prediction using the concept of kernel. In particular, by applying GSVQR (Generalized Support Vector Quantile Regression), overestimation, underestimation, and neutral estimation of product surface roughness are performed and compared. Furthermore, surface roughness is predicted using the linear kernel and the RBF kernel. In terms of accuracy, the results of the RBF kernel are better than those of the linear kernel. Since it is difficult to predict the amount of tool wear in real time, the product surface roughness is predicted with acceleration and current data excluding the amount of tool wear. In terms of accuracy, the results of excluding the amount of tool wear were not significantly different from those including the amount of tool wear.

An Experimental Study on the Performance of Bond-Type Anchorage Systems with Various Dimensions of Steel Mold (CFRP 긴장재용 부착형 정착 장치의 강관 몰드 제원에 따른 정착 성능 실험 연구)

  • Jung, Woo-Tai;Park, Young-Hwan;Park, Jong-Sup
    • Journal of the Korea Concrete Institute
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    • v.23 no.3
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    • pp.257-264
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    • 2011
  • This paper contains the experimental performance evaluation results of bond-type anchorage systems with the CFRP(carbon fiber reinforced polymer) tendon. The preliminary tests were performed to find the appropriate filling materials in the steel molds. A total of five materials including epoxy or cement mortar have been used as fillers in the steel molds. Results of the preliminary tests showed that specimen filled with non-shrinkage mortar showed maximum tensile strength. Based on the finding, the non-shrinkage mortar was selected as filler for anchoring CFRP tendons. Additional tests were performed as a parametric study to select proper size of steel molds such as external diameter, thickness, and length. The proper size of steel molds with non-shrinkage mortar was selected based on the test results, which gave stable tensile performance.