Academic literature on the topic 'Shrinkage of wax pattern'

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Journal articles on the topic "Shrinkage of wax pattern"

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Wang, Dong Hong, Bo He, Fei Li, and Bao De Sun. "The Influence of Injection Processing on the Shrinkage Variation and Dimensional Stability of Wax Pattern in Investment Casting." Advanced Materials Research 538-541 (June 2012): 1217–21. http://dx.doi.org/10.4028/www.scientific.net/amr.538-541.1217.

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The accuracy of the wax patterns used in the investment casting process has a direct bearing on the accuracy of the final cast part. Wax injection process plays a key role in production of nearly net shape wax pattern. Dimension shrinkage is one of the most significant problems of a wax pattern in terms of dimensional stability in the wax injection molding. This study aimed to determine the effects of injection parameters on the dimensional accuracy of the wax patterns. Linear contractions normal to flow direction and weight of wax patterns were measured and dimensional variations were evaluated. The results highlight it is important that when dealing with thick gates, short packing time appears to be the best way to avoid gate area over packing and dimensional variations, high packing pressure appears to increase expansion and dimensional variation of wax pattern.
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Liu, Chang Hui, Sun Jin, Xin Min Lai, Dong Hong Wang, and Yu Lian Wang. "Experimental Study of Injection Conditions for a Thin-Walled Wax Pattern Using Response Surface Methodology." Applied Mechanics and Materials 607 (July 2014): 185–92. http://dx.doi.org/10.4028/www.scientific.net/amm.607.185.

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In this paper, the relationship between the shrinkage of the thin-walled wax part in the investment casting process (ICP) and the process parameters including mold temperature, melt temperature, packing pressure and holding time are investigated through a series of experiments. The relationship is successfully described by a mathematical regression model which is based on the response surface methodology (RSM). The rationality and adequacy of the mathematical model are checked via analysis of variation (ANOVA) and a sensitivity analysis for process parameters on the dimensional shrinkage variation are conducted which shows that the contribution percentages of mold temperature, melt temperature, packing pressure and holding time are 23.77%, 43.67%, 11.85% and 16.99%, respectively. Additionally, the optimal setting of the process parameters is also obtained by calculating the desirability function. The optimal combination of the mold temperature, melt temperature, packing pressure, and holding time is 74°C, 30°C 25bar, and 5 sec, respectively.
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ARAKI, Yoshima, Naoyuki KATAKURA, and Michio KAWAKAMI. "Numerical Analysis of Thermal Stress and Shrinkage of Wax Patterns." Dental Materials Journal 7, no. 2 (1988): 197–205. http://dx.doi.org/10.4012/dmj.7.197.

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Macků, M., and M. Horáček. "Applying RP-FDM Technology to Produce Prototype Castings Using the Investment Casting Method." Archives of Foundry Engineering 12, no. 3 (September 1, 2012): 75–82. http://dx.doi.org/10.2478/v10266-012-0085-y.

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Abstract The research focused on the production of prototype castings, which is mapped out starting from the drawing documentation up to the production of the casting itself. The FDM method was applied for the production of the 3D pattern. Its main objective was to find out what dimensional changes happened during individual production stages, starting from the 3D pattern printing through a silicon mould production, wax patterns casting, making shells, melting out wax from shells and drying, up to the production of the final casting itself. Five measurements of determined dimensions were made during the production, which were processed and evaluated mathematically. A determination of shrinkage and a proposal of measures to maintain the dimensional stability of the final casting so as to meet requirements specified by a customer were the results.
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Nikitin, K. V., V. N. D’yachkov, V. I. Nikitin, A. Yu Barinov, and V. B. Deev. "Influence of temperature conditions on the shrinkage of wax patterns for investment casting." IOP Conference Series: Materials Science and Engineering 919 (September 26, 2020): 022041. http://dx.doi.org/10.1088/1757-899x/919/2/022041.

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Nikitin, K. V., V. N. D’yachkov, V. I. Nikitin, and А. Yu Barinov. "Investigation of linear shrinkage of model compounds and interaction mechanisms in the «lost wax pattern – refractory ceramic mold» system." Izvestiya Vuzov. Tsvetnaya Metallurgiya (Universities' Proceedings Non-Ferrous Metallurgy), no. 6 (December 15, 2019): 621–74. http://dx.doi.org/10.17073/0021-3438-2019-6-42-50.

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Fukada, Ippei, Shunji Takahashi, Masahiko Tanabe, Kazuhiro Araki, Takayuki Kobayashi, Kokoro Kobayashi, Naoya Gomi, et al. "Magnetic resonance imaging with concentric shrinkage as a prognostic factor in patients with luminal breast cancer during neoadjuvant chemotherapy." Journal of Clinical Oncology 31, no. 15_suppl (May 20, 2013): e11587-e11587. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.e11587.

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e11587 Background: The important characteristics of breast cancer is its tumor heterogeneity and response to neoadjuvant chemotherapy (NAC). We analyzed the patterns of tumor shrinkage as a prognostic indicator after NAC for luminal breast cancer. Methods and Results. Methods: Of 854 patients who had received NAC in the single institute between January 2000 and December 2009, 265 luminal breast cancerwere retrospevively examined. Luminal breast cancer was defined as ER and/or PgR positive in more than 10% of cancer cells and HER2 negative (IHC 0, 1+ or FISH <2.0). Before and after NAC, the primary lesion was evaluated by enhanced MRI in 235 patients. Results: The median follow-up period was 51.4 months. 38 patients(16.2%) experienced recurrence after a median DFI of 49.1 months. The median age was 50 and 232 patients received anthracycline containing chemotherapy and 179 patients received taxane. 120 out of 235 patients exhibited concentric shrinkage pattern. Multivariate analysis for DFS identified Age(49>), strong ER/PgR positivity and concentric shrinkage as significantly favorable, and lymph node metastases as significantly unfavorable prognostic factors. Multivariate analysis for OS identified tumor size as significantly unfavorable prognostic factors(p=0.012). Conclusions: the tumor shrinkage pattern could be an important prognostic factor for luminal breast cancer and this suggests that a concentric shrinkage pattern of response may be infrequently associated with chemotherapy-resistant residual cancer cells.
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Omar, M. F. M., S. Sharif, M. Ibrahim, H. Hehsan, M. N. M. Busari, and M. N. Hafsa. "Evaluation of Direct Rapid Prototyping Pattern for Investment Casting." Advanced Materials Research 463-464 (February 2012): 226–33. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.226.

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The ability of rapid prototyping (RP) technology to fabricate direct part of any complex shape as a sacrificial pattern in shorter lead time has benefited the foundry industries significantly. The quality of investment casting (IC) parts is directly related to the master pattern fabricated from RP process. The main objective of this study was to evaluate the quality characteristics of various RP patterns that were fabricated by various RP processes which include 3D Printer (3DP), Fused Deposition Modeling (FDM) and Multijet Modeling (MJM). Evaluation of the RP patterns was carried out on dimensional accuracy, surface roughness and pattern shrinkage. Different internal pattern designs for the RP parts were developed using Insight software for FDM process and Solidworks 2011 for other RP systems. In addition to the quality assessments, the effect of the internal pattern designs on the burn out behaviour of the RP patterns was also evaluated. Experimental results showed that FDM and MJM produced patterns with better accuracy, surface roughness and part shrinkage when compared to 3DP. It was evident that the internal pattern structure improved the accuracy of the patterns produced from all RP processes. Results showed that FDM and MJM processes were superior in terms of mold cleanliness when no residual ash was observed during the burn out stage. Significant oxidation of ceramic powder was observed on the molds of the 3DP patterns which need to be removed manually from the molds.
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Deandrea, Maurilio, Francesca Garino, Mormile Alberto, Roberto Garberoglio, Ruth Rossetto, Nadia Bonelli, Stefano Spiezia, et al. "Radiofrequency ablation for benign thyroid nodules according to different ultrasound features: an Italian multicentre prospective study." European Journal of Endocrinology 180, no. 1 (January 2019): 79–87. http://dx.doi.org/10.1530/eje-18-0685.

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Background The purpose of this study was to confirm the generalisation of radiofrequency ablation (RFA) in the treatment of benign thyroid nodules (BTN) and to look for a correlation between final shrinkage and some ultrasound (US) findings in a large Italian population data set. Methods This prospective study included 337 patients with solid cold BTN from six Italian institutions. Nodule volume, US pattern, thyroid function, symptom/cosmetic scores and complications were evaluated before treatment and at 6 and 12 months. The primary outcome was to find a correlation between basal volume and US pattern of the nodules and final shrinkage. The secondary outcome was to confirm the efficacy and safety of RFA in a large data set. Results The median basal volume was 20.7 mL, and this significantly decreased after RFA at 6 months (7.3 mL (−63.5%), P < 0.001) and at 12 months (6 mL (−70%), P vs 6 months = 0.009). A significant correlation was found for US structure (a spongiform pattern showing a 76% reduction vs 67 and 66% of mix and solid patterns respectively, P < 0.01) as well as for vascularity (intense peripheral and intranodal patterns showing 71 vs 68 and 67% of weak peripheral and intranodal and peripheral patterns respectively, P < 0.03), but not for macrocalcifications. A slight inverse correlation was found between nodule basal volume and shrinkage (Spearman: −0.23). Mean symptoms/cosmetic scores were significantly reduced. No major complications were encountered. Conclusions This multicentre study validated the efficacy and safety of RFA for treating BTN and showed a clear correlation between final shrinkage and some common US findings.
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Ballesio, Laura, Silvia Gigli, Francesca Di Pastena, Guglielmo Giraldi, Lucia Manganaro, Emanuela Anastasi, and Carlo Catalano. "Magnetic resonance imaging tumor regression shrinkage patterns after neoadjuvant chemotherapy in patients with locally advanced breast cancer: Correlation with tumor biological subtypes and pathological response after therapy." Tumor Biology 39, no. 3 (March 2017): 101042831769454. http://dx.doi.org/10.1177/1010428317694540.

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The objective of this study is to analyze magnetic resonance imaging shrinkage pattern of tumor regression after neoadjuvant chemotherapy and to evaluate its relationship with biological subtypes and pathological response. We reviewed the magnetic resonance imaging studies of 51 patients with single mass-enhancing lesions (performed at time 0 and at the II and last cycles of neoadjuvant chemotherapy). Tumors were classified as Luminal A, Luminal B, HER2+, and Triple Negative based on biological and immunohistochemical analysis after core needle biopsy. We classified shrinkage pattern, based on tumor regression morphology on magnetic resonance imaging at the II cycle, as concentric, nodular, and mixed. We assigned a numeric score (0: none; 1: low; 2: medium; 3: high) to the enhancement intensity decrease. Pathological response on the surgical specimen was classified as complete (grade 5), partial (grades 4–3), and non-response (grades 1–2) according to Miller and Payne system. Fisher test was used to relate shrinkage pattern with biological subtypes and final pathological response. Seventeen patients achieved complete response, 25 partial response, and 9 non-response. A total of 13 lesions showed nodular pattern, 20 concentric, and 18 mixed. We found an association between concentric pattern and HER2+ (p < 0.001) and mixed pattern and Luminal A lesions (p < 0.001). We observed a statistical significant correlation between concentric pattern and complete response (p < 0.001) and between mixed pattern and non-response (p = 0.005). Enhancement intensity decrease 3 was associated with complete response (p < 0.001). Shrinkage pattern and enhancement intensity decrease may serve as early response indicators after neoadjuvant chemotherapy. Shrinkage pattern correlates with tumor biological subtypes.
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Dissertations / Theses on the topic "Shrinkage of wax pattern"

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Šmíd, Jiří. "Možnosti uplatnění moderních metod při výrobě prototypových odlitků." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-229708.

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The introduction part of the thesis focuses on the overview of rapid prototyping in foundry industry. Principles of the most important RP methods are described and the FDM method is analyzed in more detail. This method was used in the practical part for the production of wax patterns with silicone moulds. The wax patterns were used for the production of castings using the lost wax method. The result of this work is determination of dimensional changes during the whole process of casting manufacture from the drawing to the final casting.
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Šmatelka, Jakub. "Optimalizace technologie voskových modelů ve firmě Alucast." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-231529.

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This diploma thesis deals with the problem of wax patterns manufacturing in investment casting technology (lost wax process). This technology is very sensitive to the exact execution in each phase of the whole process, from concept design up to the final casting expedition. During most operations, dimensional changes occur, which is affecting the accuracy of the final casting. No matter how big these changes are, but especially if they occur with the least variance. One of the first phases in this technology is making wax patterns. There are several ways of making the wax patterns and this thesis is describing two different methods used in the Alucast foundry. One is based on using “soft waxes” enabling using low pressure machines, the other one on the “hard waxes” where the injection machine with higher presses is being used (SOM). These two above mentioned technologies are compared in this work.
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Pitses, Eleni Chrisoula. "An assessment of stingless beeswax as a pattern material in ancient Mesoamerican lost-wax casting." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119942.

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Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 43-45).
Metal objects were of great cultural significance in pre-Columbian Mesoamerica. Historical and archaeological evidence prove that these items were made by the process of investment casting, or "lost wax" casting, by which a wax model of the object is created, and a ceramic mold is built around it. The wax is melted out to allow for the pouring of the molten metal. Considerable research has focused on the alloy composition of these objects, and some research has been done on the ceramic molds, but little is known about the composition, source, and manufacture of the wax itself. This paper builds upon work by Michael Tarkanian and Dr. Elizabeth Paris, attempting to fill this gap in the literature. Spanish written accounts of ancient Mesoamerican casting processes mention that wax from stingless bees was mixed with copal, or tree resin, and used to form the models for lost-wax casting. Waxes from Mexican stingless bees Melipona beecheii, Scaptotrigona pectoralis, and Melipona yucatanica were considered in this study, in addition to three copals: Bursera copallifera, Protium copal, and Pinus contorta. Thermal data from Differential Scanning Calorimetry revealed no changes in thermal behavior between waxes and their blends with copals, showing that none of the blends considered in this study are miscible. However, hardness testing revealed that the blends of Pinus contorta with Melipona beecheii and with Melipona yucatanica were harder than their respective waxes. This is in line with a Spanish account of the casting process, which mentions that copal was added so the wax may "[become firm and] harden well". Including data collected by Tarkanian and Paris, the most favorable material for investment casting would be Friesomelitta nigra wax mixed with Bursera copallifera, according to the criteria considered in this study.
by Eleni Chrisoula Pitses.
S.B.
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Schmolck, Alexander. "Smooth relevance vector machines." Thesis, University of Exeter, 2008. http://hdl.handle.net/10036/40793.

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Regression tasks belong to the set of core problems faced in statistics and machine learning and promising approaches can often be generalized to also deal with classification, interpolation or denoising problems. Whereas the most widely used classical statistical techniques place severe a priori constraints on the type of function that can be approximated (e.g. only lines, in the case of linear regression), the successes of sparse kernel learners, such as the SVM (support vector machine) demonstrate that good results may be obtained in a quite general framework by enforcing sparsity. Similarly, even very simple sparsity-based denoising techniques, such as classical wavelet shrinkage, can produce surprisingly good results on a wide variety of different signals, because, unlike noise, most signals of practical interest share vital characteristics (such as smoothness, or the ability to be well approximated by piece-wise linear polynomials of a low order) that allow a sparse representation in wavelet space. On the other hand results obtained from SVMs (and classical wavelet-shrinkage) suffer from a certain lack of interpretability, since one cannot straightforwardly attach probabilities to them. By contrast regression, and even more importantly classification, in a Bayesian context always entails a probabilistic measure of confidence in the results, which, provided the model assumptions are reasonably accurate, forms a basis for principled decision-making. The relevance vector machine (RVM) combines these strengths by explicitly encoding the criterion of model sparsity as a (Bayesian) prior over the model weights and offers a single, unified paradigm to efficiently deal with regression as well as classification tasks. However the lack of an explicit prior structure over the weight variances means that the degree of sparsity is to a large extent controlled by the choice of kernel (and kernel parameters). This can lead to severe overfitting or oversmoothing -- possibly even both at the same time (e.g. for the multiscale Doppler data). This thesis details an efficient scheme to control sparsity in Bayesian regression by incorporating a flexible noise-dependent smoothness prior into the RVM. The resultant smooth RVM (sRVM) encompasses the original RVM as a special case, but empirical results with a variety of popular data sets show that it can surpass RVM performance in terms of goodness of fit and achieved sparsity as well as computational performance in many cases. As the smoothness prior effectively makes it possible to use (highly efficient) wavelet kernels in an RVM setting this work also unveils a strong connection between Bayesian wavelet shrinkage and RVM regression and effectively further extends the applicability of the RVM to denoising tasks for up to millions of datapoints. We further discuss its applicability to classification tasks.
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Trude, Adeline Margaret. "Pattern, accumalation, a a technology of surface: A study of wax print cloth among Ghanaiansa in London." Thesis, University College London (University of London), 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.528533.

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Ismail, Dzulkiflee. "The application of pattern recognition techniques to data derived from the chemical analysis of common wax based products and ignitable liquids." Thesis, University of Strathclyde, 2012. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=18208.

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Pattern recognition is a term that can be used to cover various stages of the investigation of characterising data sets including contributing to problem formulation and data collection through to discrimination, assessment and interpretation of results. Chemometrics techniques and Artificial Neural Networks (ANNs) are pattern recognition techniques commonly used to visualise and gather useful information from multidimensional datasets i.e. datasets with n-samples with m- variables. Of the many chemometric techniques available, Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) are the most commonly used in the evaluation of dataset(s) generated from the analysis of samples which have relevance to forensic science. By contrast, Artificial Neural Networks (ANNs) and in particular Self Organising Feature Maps (SOFM) and Multi Layer Perceptron (MLP) have had limited application in forensic science eventhough these pattern recognition techniques have been known for almost 30 years. This study focuses on the applicability of the Artificial Neural Networks (ANNs) to specific datasets of forensic science interest and compares these with 'conventional' PCA and HCA techniques. Datasets generated from the analysis of wax based products and lighter fuels were used. The wax based product data set contained information obtained from Thin Layer Chromatography (TLC), Microspectrophotometry (MSP), Ultra-Violet and Visible Spectroscopy (UV/Vis) and Gas Chromatography with Flame Ionisation Detector (GC-FID) analysis of a variety of products from multiple sources where discrimination by brand was the objective. The data provided for the lighter fuel samples was obtained from analysis of a number of brands, both unevaporated and evaporated by Gas Chromatography-Mass Spectroscopy (GC-MS) and the objective was to discriminate the samples by brand as well as link degraded samples from the same brand together. The wax based product analysis provided simple, straight forward data whilst the lighter fuel analysis provided a more complicated and challenging dataset to investigate in terms of facilitating sample discrimination and/or linkage. In all cases, the 'conventional' Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) failed to provide any meaningful discrimination of the samples by product type regardless of the nature of the datasets. In contrast, the Artificial Neural Networks (ANNs) techniques provided full discrimination of the samples by product type even when the samples had undergone considerable ageing and weathering. This work has demonstrated the potential use of Self Organising Feature Maps (SOFM) and Multi Layer Perceptron (MLP) to datasets of forensic science relevance. The findings of this work provide avenues for further exploration of Artificial Neural Networks (ANNs) in forensic science.
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Bouscher, Robert F. "Advancements in Powder Coating Processing and in Real-time Film Formation Analysis of Thermoset Coatings." University of Akron / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=akron1627566578541715.

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Svobodová, Radka. "Optimalizace technologie vytavitelného modelu s využitím numerické simulace." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-230115.

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The aim of this diploma thesis is to ascertain the process of injecting the wax through an injection moulding machine under certain input conditions and with the help of the simulation program Cadmould 3D-F®, to perfect the injection and the following solidification of the wax. Only thanks to a perfect injection and the following solidification of the wax, a precise wax pattern can be made. In order to compare the process of injecting the wax mixture, we are helped by the Cadmould 3D-F® simulation program and the records of the injection taken by a video camera. In this thesis a simulation program used when simulating the injection of plastics was applied, as a means of comparison. In this case the similarity between the rheological characteristics of both wax and plastic was exploited.
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Kosour, Vojtěch. "Využití numerické simulace k optimalizaci výroby voskových modelů." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2013. http://www.nusl.cz/ntk/nusl-234157.

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Production of wax pattern model by injection machine is a one of the key phases of Investment casting process. The thesis deals with the development of numerical simulation wax blend injection in to metal die. The possibilities of selection simulation software – ProCast and Cadmould are described in the relation to numerical predictions of wax injection. Creating of material database of selected wax blends is described. The prototype simulations of die filling are made. The special testing die are designed a used for created simulations. The measurements of initial conditions are mentioned.
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Kolesár, Roman. "Optimalizace technologií vosků a skořepin ve firmě Fimes." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-231531.

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The thesis continue thematically in the previous development of the wax mixtures for the company Fimes. The general description of the investment casting process from the production of the die to casting of the wax pattern is handled in the first part. It is followed by the summary of the previously carried out experiments on cracking the shells. The experimental part describes the individual operations from the production of tested wax patterns to casting in the Boilercláv. The newly developed wax mixture is compared to the wax mixture used by the company Fimes. The experiments focus on the possibility of cracking the shells during the casting process and the dimensional stability of wax mixtures.
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Books on the topic "Shrinkage of wax pattern"

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Yang, Kun. Observed Regional Climate Change in Tibet over the Last Decades. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.587.

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The Tibetan Plateau (TP) is subjected to strong interactions among the atmosphere, hydrosphere, cryosphere, and biosphere. The Plateau exerts huge thermal forcing on the mid-troposphere over the mid-latitude of the Northern Hemisphere during spring and summer. This region also contains the headwaters of major rivers in Asia and provides a large portion of the water resources used for economic activities in adjacent regions. Since the beginning of the 1980s, the TP has undergone evident climate changes, with overall surface air warming and moistening, solar dimming, and decrease in wind speed. Surface warming, which depends on elevation and its horizontal pattern (warming in most of the TP but cooling in the westernmost TP), was consistent with glacial changes. Accompanying the warming was air moistening, with a sudden increase in precipitable water in 1998. Both triggered more deep clouds, which resulted in solar dimming. Surface wind speed declined from the 1970s and started to recover in 2002, as a result of atmospheric circulation adjustment caused by the differential surface warming between Asian high latitudes and low latitudes.The climate changes over the TP have changed energy and water cycles and has thus reshaped the local environment. Thermal forcing over the TP has weakened. The warming and decrease in wind speed lowered the Bowen ratio and has led to less surface sensible heating. Atmospheric radiative cooling has been enhanced, mainly through outgoing longwave emission from the warming planetary system and slightly enhanced solar radiation reflection. The trend in both energy terms has contributed to the weakening of thermal forcing over the Plateau. The water cycle has been significantly altered by the climate changes. The monsoon-impacted region (i.e., the southern and eastern regions of the TP) has received less precipitation, more evaporation, less soil moisture and less runoff, which has resulted in the general shrinkage of lakes and pools in this region, although glacier melt has increased. The region dominated by westerlies (i.e., central, northern and western regions of the TP) received more precipitation, more evaporation, more soil moisture and more runoff, which together with more glacier melt resulted in the general expansion of lakes in this region. The overall wetting in the TP is due to both the warmer and moister conditions at the surface, which increased convective available potential energy and may eventually depend on decadal variability of atmospheric circulations such as Atlantic Multi-decadal Oscillation and an intensified Siberian High. The drying process in the southern region is perhaps related to the expansion of Hadley circulation. All these processes have not been well understood.
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Book chapters on the topic "Shrinkage of wax pattern"

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Wang, Donghong. "Dimensional Deviation and Defect Prediction of Wax Pattern." In Precision Forming Technology of Large Superalloy Castings for Aircraft Engines, 67–100. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6220-8_3.

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Zhang, Yu, Jing Jin, Bei Wang, and Xingyu Wang. "Shrinkage Common Spatial Pattern for Feature Extraction in Brain-Computer Interface." In Lecture Notes in Electrical Engineering, 155–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38466-0_18.

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Wu, Kang. "Urban Shrinkage in the Beijing-Tianjin-Hebei Region and Yangtze River Delta: Pattern, Trajectory and Factors." In The Urban Book Series, 43–61. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-2646-2_3.

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Shorter, Edward. "The Nervous Breakdown." In How Everyone Became Depressed. Oxford University Press, 2013. http://dx.doi.org/10.1093/oso/9780199948086.003.0010.

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Nervous breakdown has never been a medical term. It is a patients’ term, just as cerumen has always been a doctors’ term for ear wax. Yet patients once believed profoundly in nervous breakdowns as a psychiatric condition several pegs higher than nerves, until the great switch to depression. Even today, the concept of the nervous breakdown has a kind of subterranean existence in the patients’ folklore. Yet the nerve syndrome was a quite specific pattern of illness whereas the nervous breakdown was not. The nerve syndrome entailed anxiety, depression, fatigue, somatic illness, and obsessive concern. Looking back over historical records, we can see who had the nerve syndrome and who did not. Nervous breakdown shares only the term nerves in common with the nerve syndrome. It is a synonym for serious psychiatric illness of any kind, not a specific disorder. In a short story in Collier’s magazine in 1935, George, the hero, tries unsuccessfully to contact Josephine, on whom he has cast a lustful eye. “He saw no other girls. He went home nights and walked the floor and drank too many drinks and didn’t go to sleep until all hours.” The title of the story was “nervous breakdown,” but clearly George did not have a psychiatric illness. Here, on the other hand, is John F. O’Donnell, the chief of police in Denver, who shot himself to death in 1949. In a note that he left behind for his wife and son he said, “I feel like I am going to have a nervous breakdown and surely do not want to be a burden to you.” For Chief O’Donnell, a nervous breakdown was a nontrivial illness. Dr. John E. Eichenlaub, writing in Today’s Health in 1954, said, “You hear a lot of people say that a nervous breakdown ruins a person for life, that no one ever gets over one.” This is pretty serious business, not at all what George had. (Dr Eichenlaub went on to dispel readers’ fears.)
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"strate IBE the upper bound of a 90% confidence interval for the above aggregate metric must fall below 2.49. The required upper bound can be calculated in at least three different ways: (1) method-of-moments estimation with a Cornish-Fisher approx-imation (Hyslop et al., 2000; FDA Guidance, 2001), (2) bootstrapping (FDA Guidance, 1997), and (3) by asymptotic approximations to the mean and variance of ν and ν (Patterson, 2003; Patterson and Jones, 2002b,c). Method (1) derives from theory that assumes the inde-pendence of chi-squared variables and is more appropriate to the analysis of a parallel group design. Hence it does not fully account for the within-subject correlation that is present in data obtained from cross-over tri-als. Moreover, the approach is potentially sensitive to bias introduced by missing data and imbalance in the study data (Patterson and Jones, 2002c). Method (2), which uses the nonparametric percentile bootstrap method (Efron and Tibshirani, 1993), was the earliest suggested method of calculating the upper bound (FDA Guidance, 1997), but it has sev-eral disadvantages. Among these are that it is computationally intensive and it introduces randomness into the final calculated upper bound. Re-cent modifications to ensure consistency of the bootstrap (Shao et al., 2000) do not appear to protect the Type I error rate (Patterson and Jones, 2002c) around the mixed-scaling cut-off (0.04) unless calibration (Efron and Tibshirani, 1993) is used. Use of such a calibration technique is questionable if one is making a regulatory submission. Hence, we pre-fer to use method (3) and will illustrate its use shortly. We note that this method appears to protect against inflation of the Type I error rate in IBE and PBE testing, and the use of REML ensures unbiased esti-mates (Patterson and Jones, 2002c) in data sets with missing data and imbalance, a common occurrence in cross-over designs, (Patterson and Jones, 2002a,b). In general (Patterson and Jones, 2002a), cross-over tri-als that have been used to test for IBE and PBE have used sample sizes in excess of 20 to 30 subjects, so asymptotic testing is not unreasonable, and there is a precedent for the use of such procedures in the study of pharmacokinetics (Machado et al., 1999). We present findings here based on asymptotic normal theory using REML and not taking into account shrinkage (Patterson and Jones, 2002b,c). It is possible to account for this factor using the approach of Harville and Jeske (1992); see also Ken-ward and Roger (1997). However, this approach is not considered here in the interests of space and as the approach described below appears to control the Type I error rate for sample sizes as low as 16 (Patterson and Jones, 2002c). In a 2 × 2 cross-over trial it is not possible to estimate separately the within-and between-subject variances and hence a replicate design, where subjects receiving each formulation more than once is required." In Design and Analysis of Cross-Over Trials, 364. Chapman and Hall/CRC, 2003. http://dx.doi.org/10.1201/9781420036091-19.

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Conference papers on the topic "Shrinkage of wax pattern"

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Adjunta, Jimmy, and Donald Houser. "A Study on the Shrinkage Characteristics and Dimensional Accuracy of Cast Gears." In ASME 1992 Design Technical Conferences. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/detc1992-0081.

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Abstract This paper is primarily concerned with the evaluation of the dimensional quality of spur gears produced by two casting processes, i. e., the investment casting and v-sand casting processes. The casting patterns used were designed by compensating for process shrinkage, and were manufactured using a flexible CNC gear machining process. A computer program, CASTGR, was written to facilitate the design phase of the patterns. The various gear configurations cast were inspected using an universal coordinate measuring machine. The geometry of the casting and pattern were correlated to verify the contraction characteristics of the gear castings. In an attempt to categorize the precision capabilities of the two casting processes, the spread of the deviations found for tooth thickness measurements and measurements along profiles and leads of the cast gears were examined. The observed effects of other process variables is also included.
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Gomez, Juan A., Devanda Lek, In-Hyouk Song, Du-Hwan Chun, and Byoung H. You. "Study on Stress and Thermal Contraction During Cooling and Demolding in Hot Embossing." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-39203.

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Thermal stress and shrinkage were investigated to analyze pattern defects during the cooling and demolding steps in hot embossing. Hot embossing is one of the most popular fabrication methods that replicate polymer microdevices in fields such as micro-fluidics and micro-optics. Numerical models were developed to study the effect of thermal stress and adhesion force on a molded microstructure during the cooling and demolding steps of micro hot embossing. The alignment microstructure, a hemisphere-tipped post, was located at four radial locations of 5, 10, 15, and 20 mm from the center of the polymer substrate to determine the effect of thermal stress and adhesion forces, relative to pattern location, leading to pattern deformation. Results showed that thermal stress increased as the microstructure was moved further away from the center of the polymer substrate due to an increase in shrinkage velocity. Process parameters could be designed to improve replication fidelity by analyzing the stress distribution of a molded microstructure during cooling and demolding.
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Moeini Sedeh, Mahmoud, and J. M. Khodadadi. "Effect of Marangoni Convection on Solidification of Phase Change Materials Infiltrated in Porous Media in Presence of Voids." In ASME 2013 Heat Transfer Summer Conference collocated with the ASME 2013 7th International Conference on Energy Sustainability and the ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/ht2013-17316.

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Void formation is encountered in the form of air pockets during preparation of composite thermal energy storage systems, consisting of phase change materials (PCM) infiltrated into a high-conductivity porous structure. The presence of voids within the pores of a porous structure degrades the thermal and phase change behavior of such composites. Recent work devoted to multiphase modeling of the infiltration of PCM in liquid state into porous media and formation of voids showed that among the various contributing driving forces (i.e. gravity, pressure gradient and interfacial forces), the interfacial forces (resulting from surface tension and contact angle) play a significant role at the pore level. Additionally, modeling the solidification and melting of PCM within the pores in presence of a void revealed that there is a temperature gradient along the interface between the PCM and void. Considering the surface tension as the major driving force at the pore level, this temperature gradient is large enough to give rise to a gradient in surface tension that then triggers the Marangoni convection at the interface. Thus, as a convection mechanism, it affects the phase change process as well as the interface shape. Therefore, in this paper, the effects of the Marangoni convection on PCM solidification time and shape of the interface was investigated at the pore level. A numerical approach was employed for solidification of a PCM based on the combination of the Volume-of-fluid (VOF) and enthalpy-porosity methods, including the variation of the surface tension with temperature, i.e. Marangoni effects. A two-dimensional model of a pore was developed based on the average geometric features of the pores in a porous structure with interconnecting pores. Following the grid independence study, the transient simulation of solidification was performed, whereas the PCM within the pore and the air within the void were treated as incompressible liquid and compressible gas, respectively. The liquid density change during the solidification was included to explicate the formation of shrinkage void and its distribution within the pores. The PCM solidification time and shape of the final interface between the PCM and air pocket (representing the amount and distribution of the shrinkage void evolving during the solidification) were extracted and compared between the cases with and without Marangoni convection. For verification purposes, the volume of the predicted infiltration void is in agreement with experimental measurements and the volume of the shrinkage void shows a good agreement with theoretical volume change. The final shape of the interface was justified and turned out to be in agreement with the prevailing Marangoni convection pattern.
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O¨rjasaeter, Oddvin, Per J. Haagensen, and Hans Olav Knagenhjelm. "Relative Importance of Defects in Girth Welds of Linepipes." In ASME 2007 26th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2007. http://dx.doi.org/10.1115/omae2007-29549.

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The Ormen Lange deepwater gas field is located at water depth down to 1100 meters. The irregular seabed gives severe challenges to pipeline design and verification program was launched to demonstrate adequate fatigue capacity. The research included: modern welding techniques (5G and 2G welding positions), mapping of actual welding defects, misalignment (high/low) and lack of penetration. The thick walled pipe (35mm) showed low or even compressive residual stresses at the inside. This will to some extent be “protective” to the root of the weld. The exceptions to this pattern were the repair welds and the two-sided welds. The small scale test results fell close to the full scale pipe tests when taking into account the geometrical weld distortions, loading mode, and the distribution of weld defects. The importance of the parameters influencing the fatigue capacity could be ranged as follows, most detrimental first: large crack-like defects (LOP, undercut &gt; 1mm), hi/lo, and V-shape (radial shrinkage at the girth weld).
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Wang, C. D., D. Eskin, Y. Leonenko, S. Lezhnin, and O. Vinogradov. "A Numerical Study of Dispersed Air Bubbles in a Hydrotransport Pipeline Flow." In 2002 4th International Pipeline Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/ipc2002-27227.

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Different flow pattern maps and theoretical models were employed to determine the flow velocity needed to provide the dispersed-bubble flow in a hydrotransport pipeline. Comparison and analysis of the results has been carried out. The maximum and minimum bubble sizes were determined by semi-experimental methods. A log-normal function was employed to describe the bubble size distribution. A model for the bubble size change in the turbulent pipe flow was applied to study the evolution of the overall bubble size distribution. This model takes into account the competing factors influencing the bubble size: 1) dissolution (turbulent diffusion) of air in the liquid, causing bubble shrinkage; 2) pressure drop along the pipeline, causing bubble growth. Numerical analysis shows that the bubble dissolution rate strongly depends on the initial air hold-up and initial bubble size. An increase of air hold-up leads to a fast decrease of the dissolution rate. At sufficient high air hold-ups, the dissolution effect becomes negligible and air bubble sizes are dominantly controlled by the pressure drop. Smaller bubbles have higher dissolution rates than larger ones. Compared with a pure liquid flow under the same flow conditions, the effect of air hold-up is stronger in the slurry flow because of the smaller volume occupied by the liquid.
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Kumaresan, D., R. Krishnan Potti, and L. Muthu. "Thermo-Mechanical FE-Analysis of Heat Flow and Residual Stresses Distribution in Butt Welding." In ASME 2006 Pressure Vessels and Piping/ICPVT-11 Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/pvp2006-icpvt-11-93836.

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In most of the Aerospace industries, welding play a vital role in joining process. Many of the structures presently built in space rockets, deep diving submarines and very heavy containment vessels for nuclear reactors could not have been constructed without the proper application of welding technology. It is well known fact that during welding the metal at the welding zone gets melted and then solidifies, which accompanies shrinkage in all directions. Residual strain and stress distributions coming from shrinking are largely influenced by the configuration of the welding process, metallurgical characteristics of weld and the geometrical shape of the welded joint. The material characteristics are mainly depends on the thermal history cycle through which the specimen undergoes. So these thermal history cycles have to be known in order to get a better knowledge of the phenomenon and to minimize the risks of failures. This work describes the detailed finite element simulation procedure for determination of heat flow pattern and residual stress for aluminium alloy during welding. In this Modified Double Ellipsoidal Distribution Pattern was modeled and considered for the weld pool design. Elasto-plastic material properties at various temperatures were also considered for the analysis. Transient thermal histories at various points were determined to obtain the cooling curve and cooling rate and compared with the theoretical values. From which metallurgical characteristic of the material at the weld zone and heat affected zone can be obtained during welding process. The problems of distortion and residual stress are also carried out. The transient stress and distortion plot were obtained from the FEM results. A customized programming was developed for the welding simulation.
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Schmidt, Uwe, and Stefan Roth. "Shrinkage Fields for Effective Image Restoration." In 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2014. http://dx.doi.org/10.1109/cvpr.2014.349.

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Luppi, Michael, Hao Gao, Ahsan Choudhury, Warren Hopkins, Saroj Das, Michele Pinelli, and Quan Long. "Assessment of Structure Distortion of Paraffin Wax Histology Section of Human Carotid Atherosclerotic Plaque Specimen." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206691.

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Paraffin wax histology analysis is treated as a golden standard to verify biological tissue microstructure. To generate a histology section, the tissue is subject to a sequence of dehydration processes to remove water from the tissue and replace it by wax to maintain the internal tissue structure. This process normally generates significant shrinkage in the specimen [1], adding uncertainties on quantifying region sizes based on histology sections, such as the area of lipid region, fibrous cap thickness (FCT) in human arterial plaque specimens.
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Bi, Yanhong, Bin Fan, and Fuchao Wu. "Cayley- Klein Metric Learning with Shrinkage-Expansion Constraints." In 2018 24th International Conference on Pattern Recognition (ICPR). IEEE, 2018. http://dx.doi.org/10.1109/icpr.2018.8546152.

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Zhenyu Liu, Jing Tian, Li Chen, and Yongtao Wang. "Wavelet-domain image shrinkage using variance field diffusion." In 2011 First Asian Conference on Pattern Recognition (ACPR 2011). IEEE, 2011. http://dx.doi.org/10.1109/acpr.2011.6166660.

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