Workers’ rest allowance and smoothing of the workload in assembly lines

Ergonomic aspects have a crucial role in manual assembly systems. They impact on the workers’ health, final product quality and productivity. For these reasons, there is the necessity to integrate them into the assembly line balancing phase as, whereas, only time and cost variables are considered. In this study, human energy expenditures are considered as ergonomic aspects and we integrate them, for the first time, into the assembly line balancing problem type 2 through the rest allowance evaluation. We consider as an objective function the minimization of the smoothness index. Firstly, a new optimal method based on mixed integer linear programming and a new linearization methodology are proposed. Then, a heuristic approach is introduced. To complete the study, a computational experimentation is presented to validate the mathematical model and to compare the methodologies proposed in terms of computational time, complexity and solution. Additionally, we provide a detailed analysis of the impact that rest allowance evaluation can have on productivity comparing the results obtained, taking into account the rest allowance integration before, during and after the assembly balancing process.     

Computational intelligence modelling of pharmaceutical tabletting processes using bio-inspired optimization algorithms

In pharmaceutical development, it is very useful to exploit the knowledge of the causal relationship between product quality and critical material attributes (CMA) in developing new formulations and products, and optimizing manufacturing processes. With the big data captured in the pharmaceutical industry, computational intelligence (CI) models could potentially be used to identify critical quality attributes (CQA), CMA and critical process parameters (CPP). The objective of this study was to develop computational intelligence models for pharmaceutical tabletting processes, for which bio-inspired feature selection algorithms were developed and implemented for optimisation while artificial neural network (ANN) was employed to predict the tablet characteristics such as porosity and tensile strength. Various pharmaceutical excipients (MCC PH 101, MCC PH 102, MCC DG, Mannitol Pearlitol 200SD, Lactose, and binary mixtures) were considered. Granules were also produced with dry granulation using roll compaction. The feed powders and granules were then compressed at various compression pressures to produce tablets with different porosities, and the corresponding tensile strengths were measured. For the CI modelling, the efficiency of seven bio-inspired optimization algorithms were explored: grey wolf optimization (GWO), bat optimization (BAT), cuckoo search (CS), flower pollination algorithm (FPA), genetic algorithm (GA), particle swarm optimization (PSO), and social spider optimization (SSO). Two-thirds of the experimental dataset was randomly chosen as the training set, and the remaining was used to validate the model prediction. The model efficiency was evaluated in terms of the average reduction (representing the fraction of selected input variables) and the mean square error (MSE). It was found that the CI models can well predict the tablet characteristics (i.e. porosity and tensile strength). It was also shown that the GWO algorithm was the most accurate in predicting porosity. While the most accurate prediction for the tensile strength was achieved using the SSO algorithm. In terms of the average reduction, the GA algorithm resulted in the highest reduction of inputs (i.e. 60%) for predicting both the porosity and the tensile strength.     

Production and characterization of HA and SiHA coatings

Plasma sprayed hydroxyapatite (HA) coatings on metallic prostheses have been used clinically in dentistry and orthopedics since the mid 1980s. The coating properties are dependent on the spraying parameters. Since silicon-substituted hydroxyapatite (SiHA) has been shown to offer improved bioactivity over phase pure HA, SiHA coatings have the potential for enhanced performance in clinical application. In this study, phase pure HA and 0.8 wt% SiHA powders were synthesized with similar particle size distribution and morphology. The powders were plasma sprayed onto Ti–6Al–4V substrates at 37 kW and 40 kW plasma gun input power respectively. Four kinds of samples were prepared, HAC 37, HAC 40, SiHAC 37 and SiHAC 40. Materials characterization showed that the coatings were of relatively high phase purity. In vitro cell culture demonstrated that human osteoblast cells grew well on all samples, with the highest cell growth observed on SiHA coatings produced under the lower plasma gun input power.     

A dynamic mechanical thermal analysis study of the viscoelastic properties and glass transition temperature behaviour of bioresorbable polymer matrix nanocomposites

The application of bioresorbable polymer nanocomposites in orthopaedics offer the potential to address several of the limitations associated with the use of metallic implants. Their enhanced biological performance has been demonstrated recently, but until now relatively little work has been reported on their mechanical properties. To this end, the viscoelastic properties and T_g of bioresorbable polylactide-co-glycolide/α-tricalcium phosphate nanocomposites were investigated by dynamic mechanical thermal analysis. At room temperature of approximately 20°C, the storage moduli of the nanocomposites were generally higher than the storage modulus of the unfilled polymer due to the stiffening effect of the nano-particles. However at physiological temperature of approximately 37°C, the storage moduli of the nanocomposites decreased from 6.2 to 15.4% v/v nano-particle loadings. Similarly the T_g of the nanocomposites also decreased from 6.2 to 15.4% v/v nano-particle loadings. These effects were thought to be due to weak interfacial bonding between the nano-particles and polymer matrix. The storage moduli at 37°C and T_g increased from the minimum value when the particle loading was raised to 25.7 and 34.2% v/v loadings. SEM and particle size distribution histograms showed that at these loadings, there was a broad particle size distribution consisting of nano-particles and micro-particles and that some particle agglomeration was present. The consequent reduction in the interfacial area and the number of weak interfaces presumably accounts for the rise in the storage modulus at 37°C and the T_g.     

Protein oriented ligation on nanoparticles exploiting O6-alkylguanine-DNA transferase (SNAP) genetically encoded fusion

A bimodular genetic fusion comprising a delivery module (scFv) and a capture module (SNAP) is proposed as a novel strategy for the site-specific covalent conjugation of targeting peptides to nanoparticles. An scFv mutant selective for HER2 tumor antigen is chosen as the targeting ligand. SNAP-scFv is immobilized on magnetofluorescent nanoparticles and its targeting efficiency against HER2-positive cells is assessed by flow cytometry and immunofluorescence.     

Evaluation of wafer bonded CMUTs with rectangular membranes featuring high fill factor

Increasing fill factor is one design approach used to increase average output displacement, output pressure, and sensitivity of capacitive micromachined ultrasonic transducers (CMUTs). For rectangular cells, the cell-to-cell spacing and the aspect ratio determine the fill factor. In this paper, we explore the effects of these parameters on performance, in particular the nonuniformity of collapse voltage between neighboring cells and presence of higher order modes in air or immersed operation. We used a white light interferometer to measure nonuniformity in deflection between neighboring cells. We found that reducing the cell-to-cell spacing could cause bending of the center support post, which amplifies nonuniformities in collapse voltage to 18.4% between neighboring cells. Using a 2-D finite element model (FEM), we found that for our designs, increasing the support post width to 1.67 times the membrane thickness alleviated the post bending problem. Using impedance and interferometer measurements to observe the effects of aspect ratio on higher order modes, we found that the (1,3) modal frequency approached the (1,1) modal frequency as the aspect ratio of the rectangles increased. In air operation, under continuous wave (CW) excitation at the center frequency, the rectangular cells behaved in the (1,1) mode. In immersion, because of dispersive guided modes, these cells operated in a higher order mode when excited with a CW signal at the center frequency. This contributed to a loss of output pressure; for this reason our rectangular design was unsuitable for CW operation in immersion.     

Reproducibility of regional pulse-wave velocity in uremic subjects

Despite the clinical importance of pulse-wave velocity (PWV), there are no standards for accurate carotid-radial pulse-wave measurement in uremic patients with respect to carotid-femoral measurement. We assessed the reproducibility of PWV values using the carotid-radial PWV measurement. We have measured the carotid-femoral PWV and carotid-radial PWV with an automated system (Pulse Pen, DiaTecne) using 2 different blind operators in 105 hemodialysis (HD) patients. The carotid-femoral waveforms were acquired by the first blind operator simultaneously with 2 pressure-sensitive transducers and the transit time of the pulse was calculated using the system software. Similarly, the second blind operator acquired the carotid-radial waveforms. The two operators performed 2 consecutive measurements from the same subject, in a random order. In fact, after the first operator had completed 2 consecutive measurements from 1 subject, all of the sensors were detached, and the second operator attached sensors again to the same subject. The measurements were performed during interval of a midweek dialysis-free day. To evaluate the reproducibility of the system, both within-observer and between-observer analyses were performed. We studied 105 dialysis patients (HD) and 20 controls. All HD patients had three dialysis sessions lasting at least 4 h/wk. A total of 28 patients (26.7%) had diabetic nephropathy. The mean age of HD was 64.6 ± 16.1 years, the body weight was 71.1 ± 15.1 kg, and the height was 164.6 ± 6.1 cm. All population studied is referral at a tertiary care from at least 6 months (mean 11.1 ± 2.1 months). A total of 45% of patients are smokers or ex-smokers. The PWV of carotid-femoral is 8.58 ± 3.99 and the PWV of carotid-radial is 8.70 ± 4.01 m/sec, respectively, by the first and the second operator; the difference of PWV (femoral-radial measure) is -0.037 ± 0.99 m/sec. The linear correlation of carotid-femoral vs. carotid-radial PWV measurements is the highest (R(2) =0.90). The results regarding reproducibility, including mean differences and standard deviations, standard errors, and correlation coefficients were analyzed for each regional PWV value for the between-observer and within-observer studies. All of the measurements showed significant correlation coefficients, ranging from 0.94 to 0.98. The reproducibility of regional PWV values for 2 consecutive measurements from the same subject was also analyzed using Bland-Altman plots, with the reproducibility expressed as the mean difference and 2 standard deviations between the measurements obtained by the 2 operators during carotid-femoral and carotid-radial measurements. Carotid-radial PWV measurement provides an accurate analysis with a high reproducibility with respect to carotid-femoral PWV measurement, and it can be used for arterial stiffness analysis in hemodialysis patients.