Optimization of mechanical properties of recycled plastic products via optimal processing parameters using the Taguchi method

Mehat, Nik Mizamzul; Kamaruddin, Shahrul

doi:10.1016/j.jmatprotec.2011.06.014

Cited by 98 publications

(54 citation statements)

References 16 publications

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“…The effect of melt temperature, hold pressure, injection time, and/or hold time on flexural modulus and strength was low as the ratio of virgin to recycled PP was dominant. 8 However, Bledzki et al showed that injection-molding parameters can be used to manipulate the morphology and mechanical properties of microcellular polycarbonate. Tensile and flexural properties can be improved by changing the injection-molding process.…”

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confidence: 99%

Injection‐Molding Performance and Mechanical Properties of Blood Meal–Based Thermoplastics

Adamy

Verbeek

2013

Adv Polym Technol

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Protein-based thermoplastics offer an attractive alternative to petroleum-based plastics if their properties allow for large volume production using processes such as injection molding. A fractional factorial design was used to analyze the influence of injection-molding parameters (melt temperature, tool temperature, injection rate, holding pressure, and cooling time) on the injection-molding process (maximum injection pressure, injection pressure curve) and mechanical properties (tensile strength, elongation at break, secant modulus) of blood meal-based thermoplastics. Optimal mechanical properties were obtained at higher tool and melt temperatures while the injection rate was unimportant. The most important injection parameter was the holding pressure, which has to be lowered when using a higher melt temperature, which was preferred for better elongation at break. A lower holding pressure also produced moldings with a higher modulus, which could be good for demolding. Blood meal-based thermoplastics behaved mostly like standard thermoplastics, without any significant deviations. Within a workable processing window, its mechanical properties were largely unaffected by processing conditions, but as with any thermoplastic, care must be taken to select the best injection-molding parameter settings to achieve optimal part quality and high processability. C

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confidence: 99%

Injection‐Molding Performance and Mechanical Properties of Blood Meal–Based Thermoplastics

Adamy

Verbeek

2013

Adv Polym Technol

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“…The application of similar procedures in injection molding are found in some other works, e.g., minimization of friction coefficient and strain [118], minimization of warpage and shrinkage [84], and minimization of shrinkage in polypropylene and polystyrene components [4]. Various forms of the Taguchi method were applied in many other works concerning with injection molding optimization, e.g., determination of the optimum parameters based on visual quality and shrinkage [111], evaluation of the process parameters by avoiding silver streak defects in injection molded automobile plastic bumpers [13], evaluation of the influence of process parameters on the dimensional variation of injection molded ceramic [109], evaluation of process parameters by minimizing warpage in thin-shell plastic products [39], identification of parameters affecting shrinkage and warpage in thin-wall cellular phone covers [66], study of the effects of design parameters on shrinkage [15], determination of the optimal values of process parameters by minimizing warpage of a rectangular plate [108], study of the effect of input parameters on optimizing mechanical properties of recycled plastic parts [76][77][78], etc. In the recent application of the Taguchi method, Kang [46] optimized input parameters by minimizing shrinkage and warpage, Wang et al [116] optimized input parameters in order to improve the compressive property of a brake booster valve body, and Karasu et al [47] reduced the number of trial runs needed before mass production.…”

Section: Taguchi Methods For Design Of Experimentsmentioning

confidence: 99%

Process parameter optimization of plastic injection molding: a review

Kashyap

Datta

2015

Int J Plast Technol

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Over the years, injection molding has been a premier manufacturing technique in the production of intricate polymer components. Its molding efficiency rests on the shoulders of multiple process and machine parameters, which dictate the final product quality in terms of multiple output responses. It is imperative to state that a precise optimization of various input parameters is paramount for achieving the desired quality indices. In this article, a review of different techniques employed till date for optimizing various injection molding parameters is presented along with their advantages and limitations. It is found in the review that a complete intelligent technique operable without human interference is yet to be developed.

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“…To achieve an optimum formulation and finding a deep understanding of the influence of key parameters, a large number of experiments are required. Hence, utilization of design of experiment (DOE) methods can be considered as an appropriate way to decrease the number of experiments, and also to find the role of each parameter on the final properties . As a powerful method, Taguchi approach has been used by researchers in different areas to optimize a desired response.…”

Section: Introductionmentioning

confidence: 99%

Investigating the mechanical, morphological, and thermal behavior of PA‐6/SAN/MWCNT blends: Application of Taguchi experimental design

et al. 2019

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This work presents the study of morphology, melting and crystallization characteristics, and mechanical properties of the PA‐6/SAN blends reinforced with multiwalled carbon nanotubes (MWCNTs). The Taguchi method was employed to design the experiments based on the three varying parameters (ie, blend composition, nanofiller content, and sequence of blending) to obtain the optimized mechanical properties of the nanocomposites. In addition, localization of nanotubes was studied in terms of thermodynamic and kinetic prospects. It was observed that, due to the preferential tendency for localization of the carbon nanotubes toward the PA‐6 matrix, mixing protocol had an important role in determining the performance of the nanocomposites. Incorporation of an optimum weight percent of the MWCNT provided a good dispersion of the nanotubes and also an appropriate morphology for the blend. According to the analysis based on the Taguchi method, the optimum mixing protocol, blend composition, and MWCNT loading were M2, 80/20, and 0.5 wt%, respectively.

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Optimization of mechanical properties of recycled plastic products via optimal processing parameters using the Taguchi method

Cited by 98 publications

References 16 publications

Injection‐Molding Performance and Mechanical Properties of Blood Meal–Based Thermoplastics

Injection‐Molding Performance and Mechanical Properties of Blood Meal–Based Thermoplastics

Process parameter optimization of plastic injection molding: a review

Investigating the mechanical, morphological, and thermal behavior of PA‐6/SAN/MWCNT blends: Application of Taguchi experimental design

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