Zihao Yang¹, Liang Ma², Qiang Ma³, Junzhi Cui^1,4, Yufeng Nie¹, Hao Dong¹, Xiaohong An⁵

CMC-Computers, Materials & Continua, Vol.53, No.3, pp. 219-248, 2017, DOI:10.32604/cmc.2017.053.235

Abstract This paper reports a multiscale analysis method to predict the thermo-mechanical coupling performance of composite structures with quasi-periodic properties. In these material structures, the configurations are periodic and the material coefficients are quasi-periodic, i.e., they depend not only on the microscale information but also on the macro location. Also, a mutual interaction between displacement and temperature fields is considered in the problem, which is our particular interest in this study. The multiscale asymptotic expansions of the temperature and displacement fields are constructed and associated error estimation in nearly pointwise sense is presented. Then, a finite More >

Mahesh S. Shinde^1,*, Kishor M. Ashtankar²

CMC-Computers, Materials & Continua, Vol.53, No.3, pp. 207-217, 2017, DOI:10.32604/cmc.2017.053.223

Abstract This paper presents simulation study on Milled Grooved conformal cooling channels (MGCCC) in injection molding. MGCCC has a more effective cooling surface area which helps to provide efficient cooling as compared to conventional cooling. A case study of Encloser part is investigated for cycle time reduction and quality improvement. The performance designs of straight drilled are compared with MGCCC by using Autodesk Moldflow Insight (AMI) 2016. The results show total 32.1% reduction of cooling time and 9.86% reduction of warpage in case of MGCCC as compared to conventional cooling. More >

Xue-cong Liu¹, Qing Zhang^1,*, Xiao-zhou Xia¹

CMC-Computers, Materials & Continua, Vol.53, No.3, pp. 187-206, 2017, DOI:10.3970/cmc.2017.053.203

Abstract This paper focuses on the study of the stability of explicit time integration algorithm for dynamic problem by the Extended Finite Element Method (XFEM). A new enrichment scheme of crack tip is proposed within the framework of XFEM. Then the governing equations are derived and evolved into the discretized form. For dynamic problem, the lumped mass and the explicit time algorithm are applied. With different grid densities and different forms of Newmark scheme, the Dynamic Stress Intensity Factor (DSIF) is computed by using interaction integral approach to reflect the dynamic response. The effectiveness of the More >

Zhengzheng Cao¹, Feng Du^2,3,4, Ping Xu¹, Haixiao Lin¹, Yi Xue³, Yuejin Zhou³

CMC-Computers, Materials & Continua, Vol.53, No.3, pp. 175-186, 2017, DOI:10.3970/cmc.2017.053.187

Abstract The backfilling mining technology is a type of high-efficiency coal mining technology that is used to address the environmental issues caused by the caving mining technology. In this paper, the mechanical model of symmetrical laminated plate representing the overburden movement caused by the backfilling mining technology is established, and the governing differential equation of the motion of the overburden is derived. The boundary conditions of the mechanical model are put forward, and the analytical solution of the overburden movement and surface subsidence is obtained. The numerical model of the overburden movement and surface subsidence, under… More >

Susom Dutta¹, A. Ramach,ra Murthy², Dookie Kim³, Pijush Samui⁴

CMC-Computers, Materials & Continua, Vol.53, No.2, pp. 157-174, 2017, DOI:10.3970/cmc.2017.053.167

Abstract In the present scenario, computational modeling has gained much importance for the prediction of the properties of concrete. This paper depicts that how computational intelligence can be applied for the prediction of compressive strength of Self Compacting Concrete (SCC). Three models, namely, Extreme Learning Machine (ELM), Adaptive Neuro Fuzzy Inference System (ANFIS) and Multi Adaptive Regression Spline (MARS) have been employed in the present study for the prediction of compressive strength of self compacting concrete. The contents of cement (c), sand (s), coarse aggregate (a), fly ash (f), water/powder (w/p) ratio and superplasticizer (sp) dosage More >

L.S. Melro^1,2, L.R. Jensen¹

CMC-Computers, Materials & Continua, Vol.53, No.2, pp. 109-127, 2017, DOI:10.3970/cmc.2017.053.111

Abstract Molecular dynamics simulations were applied in order to calculate the Young’s modulus of graphene functionalized with carboxyl, hydroxyl, carbonyl, hydrogen, methyl, and ethyl groups. The influence of the grafting density with percentages of 3, 5, 7, and 10% and the type of distribution as a single cluster or several small clusters were also studied. The results show that the elastic modulus is dependent on the type of functional groups. The increasing coverage density also evidenced a decrease of the Young’s modulus, and the organization of functional groups as single cluster showed a lesser impact than More >

Ravikumar Gurusamy¹, Dr Vijayan Subramaniam²

CMC-Computers, Materials & Continua, Vol.53, No.2, pp. 91-108, 2017, DOI:10.3970/cmc.2017.053.091

Abstract A new method for the denoising, extraction and tumor detection on MRI images is presented in this paper. MRI images help physicians study and diagnose diseases or tumors present in the brain. This work is focused towards helping the radiologist and physician to have a second opinion on the diagnosis. The ambiguity of Magnetic Resonance (MR) image features is solved in a simpler manner. The MRI image acquired from the machine is subjected to analysis in the work. The real-time data is used for the analysis. Basic preprocessing is performed using various filters for noise More >

Jaideep Kaur¹, Kamaljit Kaur²

CMC-Computers, Materials & Continua, Vol.53, No.1, pp. 23-36, 2017, DOI:10.3970/cmc.2017.053.024

Abstract The ubiquitous Internet of Things (IoT) through RFIDs, GPS, NFC and other wireless devices is capable of sensing the activities being carried around Industrial environment so as to automate industrial processes. In almost every industry, employee performance appraisal is done manually which may lead to favoritisms. This paper proposes a framework to perform automatic employee performance appraisal based on data sensed from IoT. The framework classifies raw IoT data into three activities (Positive, Negative, Neutral), co-locates employee and activity in order to calculate employee implication and then performs cognitive decision making using fuzzy logic. From More >

Yanhua Li^*1, Xia Chen^†1, Hong Lu^*

Oncology Research, Vol.24, No.6, pp. 511-519, 2016, DOI:10.3727/096504016X14719078133483

Abstract The gene solute carrier family 34 (sodium phosphate), member 2 (SLC34A2), is a member of the SLC34 family. Increasing evidence suggests that SLC34A2 is involved in the development of many human carcinomas. However, its role in hepatocellular carcinoma (HCC) is still unclear. Therefore, in this study we investigated the role of SLC34A2 in HCC and explored the underlying mechanism. We found that the expression of SLC34A2 is upregulated in HCC cell lines. Knockdown of SLC34A2 obviously inhibited HCC cell proliferation, migration/invasion, and the epithelial–mesenchymal transition (EMT) phenotype. Furthermore, knockdown of SLC34A2 significantly inhibited the expression More >

Xue-fei Jin, Hai Li, Shi Zong, Hong-yan Li

Oncology Research, Vol.24, No.6, pp. 477-485, 2016, DOI:10.3727/096504016X14685034103716

Abstract Collagen triple helix repeat containing-1 (CTHRC1), a secreted glycoprotein, is frequently upregulated in human cancers. However, the functional role of CTHRC1 in renal cell carcinoma (RCC) remains unclear. Thus, the aim of this study was to explore the role of CTHRC1 in RCC. Our results demonstrated that CTHRC1 was upregulated in RCC tissues and cell lines. Knockdown of CTHRC1 significantly inhibits the proliferation in RCCs. Furthermore, knockdown of CTHRC1 significantly inhibited the epithelial-to-mesenchymal transition (EMT) process in RCCs, as well as suppressed RCC cell migration and invasion. Mechanistically, knockdown of CTHRC1 inhibited the expression of More >