Increasing the efficiency of material removal using dual laser micromachining

Alkhawaldeh, Osama; Coupland, John N.; Jones, Lewis C.R.

doi:10.1007/s00170-020-05250-9

Cited by 8 publications

(4 citation statements)

References 44 publications

(75 reference statements)

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“…Upon further observation, the damaged pixels display a regular square shape, consistent with the structure formed by etching with inductively coupled plasma (ICP) to isolate the pixels and subsequent glue filling [7]. By comparing this morphology to those caused by thermal effect in other materials [12,27], it can be concluded that the bare leakage of three pixels is mainly due to stress effect. Therefore, at such laser energy density level, the damage is caused by a combination of melting and stress, with the stress being the predominant factor.…”

Section: Damage Morphology and Formation Mechanismmentioning

confidence: 67%

Long-wave infrared laser irradiation damage effect on GaAs/AlGaAs quantum well infrared photodetector

Sun,

Qian,

Liu

et al. 2024

Phys. Scr.

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The damage effect and mechanism of laser irradiation on long-wave focal plane array (FPA) GaAs/AlGaAs quantum well infrared photodetector (QWIP) were preliminarily explored by using numerical simulation and experiment methods. Piecewise functions were employed to simulate the complex boundary structure of the QWIP, enabling the numerical simulation investigation of mono-pulse, nano-second, long-wave infrared laser irradiation damage effect on the QWIP. The highest QWIP temperature, the highest surface temperature and the maximum circumferential thermal stress were analyzed in relation to laser energy density. The pulse average energy density thresholds of thermal decomposition damage, melting damage and thermal stress-induced damage were theoretically obtained. Preliminary experiments were then conducted by using a mono-pulse, nano-second, 7.2 μm all-solid-state long-wave infrared laser. The experimental results revealed a point-shape damage in QWIP response measurement after the irradiation by a laser pulse of average energy density 1.30 J cm−2, due to the decomposition of GaAs. At a higher average energy density 5.42 J cm−2, both melting and stress-induced damages appeared, with the damage morphology predominantly influenced by stress-induced damage, resulting in the occurrence of blind pixels or the losing of pixels. Furthermore, at laser pulse average energy density 12.48 J cm−2, line-shape damage of the QWIP was observed.

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Section: Damage Morphology and Formation Mechanismmentioning

confidence: 67%

Long-wave infrared laser irradiation damage effect on GaAs/AlGaAs quantum well infrared photodetector

Sun,

Qian,

Liu

et al. 2024

Phys. Scr.

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“…Further, several response characteristics like surface roughness, dross height, kerf width, kerf taper angle, and striation can be optimized. This is accomplished by carefully changing parameters such as the laser power, pulse duration, focus depth, scanning speed, cutting speed and gas pressure [38][39][40][41][42]. This equilibrium is essential for accomplishing the objective of responses and reducing the amount of time and resources.…”

Section: Significance Of Optimization Techniques Of Lbmmentioning

confidence: 99%

Systematic review of optimization techniques for laser beam machining

Kharche,

Patil

2024

Eng. Res. Express

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Laser Beam Machining (LBM) has several applications in the aerospace, medical, and automobile domains. Optimization techniques are essential for LBM to increase resource-efficiency and sustainability of the system. The present paper aims to provide a systematic review of the research in the domain of optimization techniques for LBM. A total of 228 research papers published during the last 20 years, from 2003 to 2023, are reviewed. The literature review is classified into three major sections- (i) optimization techniques, (ii) applications of optimization techniques, and (iii) challenges and future directions. The novelty of the present systematic review paper is to provide a direction for future research in the domain of optimization techniques of LBM. As a result of the suggested research, an efficient and sustainable LBM with the required performance will be developed in the shortest possible time.

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“…The analyses of environmental aspects of the laser cutting technology [16] and cutting process efficiency [17] have also been considered. Likewise, some specific physical process phenomena, which take place during the actual cutting process, have also been addressed by researchers including melt film characteristics on the cutting front [18], optimal laser beam configurations [19], laser beam absorption [20], multiple laser beam reflections [21], aerodynamic interactions between the workpiece material and assisting gas [22], melt flow dynamics [23], material removal efficiency [24], laser beam oscillation techniques for quality improvements [25], and temperature distribution in the cutting region [26].…”

Section: Introductionmentioning

confidence: 99%

Application of a Robust Decision-Making Rule for Comprehensive Assessment of Laser Cutting Conditions and Performance

et al. 2022

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Laser cutting parameters synergistically affect, although in different quantitative and qualitative manners, multiple process performances, such as the resulting cut quality characteristics, material removal rate, cutting time, and costs, and the determination of the most appropriate laser cutting conditions for a given application is of prime importance. Given the existence of multiple mutually opposite performances, assessment and laser cutting conditions and performance can be considered a multiple-criteria decision-making (MCDM) problem. In order to overcome the possible inconsistency of rankings determined by different MCDM methods while solving the same decision-making problem, the present study promotes a novel methodology for the assessment and selection of laser cutting conditions by developing a robust decision-making rule (RDMR) that combines different decision-making rules from six MCDM methods and Taguchi’s principles of robust design. In order to illustrate the application of the proposed methodology, CO2 laser cutting in a stainless-steel experiment, based on the use of the Box–Behnken design, was conducted. On the basis of the experimental results, a comprehensive laser cutting MCDM model was developed with seven criteria related to cut quality (i.e., kerf geometry and cut surface), productivity, variable costs, and environmental aspects. It was observed that there was no laser cutting condition that could be considered as the best regime with respect to the different laser cutting process performances. Kendall’s and Spearman’s rank correlation coefficients indicated a certain level of disagreement among the resulting rankings of the laser cutting conditions produced by the considered MCDM methods, whereas the application of the proposed RDMR ensured the highest level of ranking consistency. Some possibilities for modeling of RDMR and its further use for the assessment of arbitrarily chosen laser cutting conditions and the use of the derived model to perform sensitivity analysis for determining the most influential laser cutting parameters are also discussed and addressed. It was observed that laser cutting parameters in different laser cutting conditions may have a variable effect on the resulting overall process performances. The comparison of the obtained results and the results determined by classical desirability-based multi-objective optimization revealed that there exists substantial agreement between the most preferable and least preferable laser cutting conditions, thus justifying the applied methodology.

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Increasing the efficiency of material removal using dual laser micromachining

Cited by 8 publications

References 44 publications

Long-wave infrared laser irradiation damage effect on GaAs/AlGaAs quantum well infrared photodetector

Long-wave infrared laser irradiation damage effect on GaAs/AlGaAs quantum well infrared photodetector

Systematic review of optimization techniques for laser beam machining

Application of a Robust Decision-Making Rule for Comprehensive Assessment of Laser Cutting Conditions and Performance

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