Optimization simulated injection molding process for ultrahigh molecular weight polyethylene nanocomposite hip liner using response surface methodology and simulation of mechanical behavior

Heidari, Behzad Shiroud; Davachi, Seyed Mohammad; Moghaddam, Amin Hedayati; Seyfi, Javad; Hejazi, Iman; Sahraeian, Razi; Rashedi, Hamid

doi:10.1016/j.jmbbm.2018.02.025

Cited by 31 publications

(11 citation statements)

References 22 publications

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“…where Ψ(T) = 4π/3 * N * G(T) 3 for the case of spherical growth and heterogeneous nucleation (Avrami exponent of 3) [36]. The crystallisation rate constant was identified to be dependent on the temperature T and proportional to the nucleation density N and the spherulitic growth function G(T) proposed by Hoffman and Lauritzen [37] via the following:…”

Section: Hammami Modelmentioning

confidence: 99%

“…The prediction of the correlation between pressure, specific volume and temperature (pvT) of polymers is highly important for applications in the polymer processing of semi-crystalline thermoplastics, especially in injection moulding. Current models that predict shrinkage and warpage, which are important quality features of injection moulded parts, are all based on pvT models [ 1 , 2 , 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

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Non-Isothermal Crystallisation Kinetics of Polypropylene at High Cooling Rates and Comparison to the Continuous Two-Domain pvT Model

et al. 2020

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The modelling of the correlation between pressure, specific volume and temperature (pvT) of polymers is highly important for applications in the polymer processing of semi-crystalline thermoplastics, especially in injection moulding. In injection moulding, the polymer experiences a wide range of cooling rates, for example, 60 °C/min near the centre of the part and up to 3000 °C/min near the mould walls. The cooling rate has a high influence on the pvT behaviour, as was shown in the continuous two-domain pvT model (CTD). This work examined the Hoffman–Lauritzen nucleation and growth theory used in the modified Hammami model for extremely high cooling rates (up to 300,000 °C/min) by means of Flash differential scanning calorimeter (DSC) measurements. The results were compared to those of the empirical continuous two-domain pvT model. It is shown that the Hammami model is not suitable to predict the crystallisation kinetics of polypropylene at cooling rates above 600 °C/min, but that the continuous two-domain pvT model is well able to predict crystallisation temperatures at high cooling rates.

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Section: Hammami Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Non-Isothermal Crystallisation Kinetics of Polypropylene at High Cooling Rates and Comparison to the Continuous Two-Domain pvT Model

et al. 2020

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“…These screws have many applications in orthopedics, and as such they have been frequently evaluated and analyzed, as in [234,235,236,237,238]. Some recent studies also explore the potential future use of composite biodegradable materials for internal screws applied to the bone structure, or investigate nanocomposites applied to orthopedic devices [239,240,241].…”

Section: Caos Systems From the Biomechanical Perspectivementioning

confidence: 99%

Recent Trends, Technical Concepts and Components of Computer-Assisted Orthopedic Surgery Systems: A Comprehensive Review

Kubíček

Tomanec

Černý

et al. 2019

Sensors

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Computer-assisted orthopedic surgery (CAOS) systems have become one of the most important and challenging types of system in clinical orthopedics, as they enable precise treatment of musculoskeletal diseases, employing modern clinical navigation systems and surgical tools. This paper brings a comprehensive review of recent trends and possibilities of CAOS systems. There are three types of the surgical planning systems, including: systems based on the volumetric images (computer tomography (CT), magnetic resonance imaging (MRI) or ultrasound images), further systems utilize either 2D or 3D fluoroscopic images, and the last one utilizes the kinetic information about the joints and morphological information about the target bones. This complex review is focused on three fundamental aspects of CAOS systems: their essential components, types of CAOS systems, and mechanical tools used in CAOS systems. In this review, we also outline the possibilities for using ultrasound computer-assisted orthopedic surgery (UCAOS) systems as an alternative to conventionally used CAOS systems.

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“…Coolant temperature, melt temperature and packing time were the most significant factors on both shrinkage and warpage. In another study, they optimized the injection molding of the ultrahigh molecular weight polyethylene (UHMWPE) hip liner 14 . Packing time and melt temperature are reported as the most significant process factors on the shrinkage.…”

Section: Introductionmentioning

confidence: 99%

Multi‐response optimization of shrinkage, clamp force, and part weight in simulated injection molding process of a dialysis micro‐filter

Heidari

Bappoo

Kelsey

et al. 2021

J of Applied Polymer Sci

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Air traps play a critical role in controlling air bubbles and clots in hemodialysis systems. The quality of the micro‐filter, an injection molded part inside the air trap, influence the potential risk of passing emboli to the patient, which can result in serious complications. The aim of this work is optimizing the simulated injection molding process of a dialysis micro‐filter based on minimizing the shrinkage, part weight, and clamping force to maximize the part quality. First, micro‐computed tomography is used to diagnose defects of a typical micro‐filter due to the molding process. Next, the injection molding of micro‐filter is simulated via Autodesk Moldflow Adviser (AMA) to obtain the responses, and the interactions of the process factors are then determined by central composite design (CCD). The injection time is the most significant influence on the responses. Multi‐response optimization results for the equal weights of the responses show the minimum shrinkage, part weight, clamp force of 8.84%, 0.744 g and 0.625 tonne, respectively, with composite desirability of 0.61. Finally, the predicted values using regression models are successfully validated via AMA, offering the optimal process settings to produce high quality dialysis micro‐filter to reduce the risk of passing emboli to patients.

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Optimization simulated injection molding process for ultrahigh molecular weight polyethylene nanocomposite hip liner using response surface methodology and simulation of mechanical behavior

Cited by 31 publications

References 22 publications

Non-Isothermal Crystallisation Kinetics of Polypropylene at High Cooling Rates and Comparison to the Continuous Two-Domain pvT Model

Non-Isothermal Crystallisation Kinetics of Polypropylene at High Cooling Rates and Comparison to the Continuous Two-Domain pvT Model

Recent Trends, Technical Concepts and Components of Computer-Assisted Orthopedic Surgery Systems: A Comprehensive Review

Multi‐response optimization of shrinkage, clamp force, and part weight in simulated injection molding process of a dialysis micro‐filter

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