Our site saves small pieces of text information (cookies) on your device in order to deliver better content and for statistical purposes. You can disable the usage of cookies by changing the settings of your browser. By browsing our site without changing the browser settings you grant us permission to store that information on your device.
P. S. MENON1,* , P. R. APTE2
The advent of high speed and high bandwidth optical access networks, such as fiber-to-the-home (FTTH), is the driving force behind the demand for low-cost, high-power optical components. Long-wavelength Vertical Cavity Surface-Emitting Lasers (LW-VCSEL) are attractive as light sources in these networks because they offer unique features such as low power consumption, narrow beam divergence and ease of fabrication in two-dimensional arrays. Furthermore, device operation in the 1.55 μm wavelength regime offers the advantages of low dispersion and low optical loss in fiber optic transmission systems. This paper reports the optimization of the peak lasing power of a numerically simulated LW-VCSEL model which utilizes InGaAsP-based multi-quantum wells (MQW) using Taguchi’s orthogonal array method in an effort to further increase the peak lasing power. Four control factors at three value levels form the inner L9 orthogonal array whereas two noise factors at three levels form the outer 3x3 factorial array. The optimum design parameter combination was obtained by using the analysis of ‘larger-the-better’ (LTB) and ‘nominal-the-best’ (NTB) signal-to-noise ratio (SNR). This work reports the fine-tuning of the factor levels to further increase the peak lasing power up to 12.62 mW which is a 160 % improvement compared to the original device design..
Taguchi, Optimization, Fine-tuning, Modelling and simulation, LW-VCSEL, Peak lasing power, MQW, InGaAsP.
P. S. MENON, P. R. APTE, Taguchi optimization of the peak lasing power of a numerically-simulated double wafer-fused InP/GaAs LW-VCSEL, Optoelectronics and Advanced Materials - Rapid Communications, 9, 1-2, January-February 2015, pp.40-47 (2015).
Submitted at: Jan. 29, 2013
Accepted at: Jan. 21, 2015
Optoelectronics and Advanced Materials - Rapid Communications
(2023): 0.5 - 2023 Journal Citation Reports (Clarivate Analytics, 2024)
Active accounts were imported to the new platform and assigned a random password by default. In order to access your account you need to access the login page and go through the Lost Password dialog (involves the system sending you an email with instructions) in order to reset your password. This step is necessary as passwords are kept in hashed form and the new platform uses modern hashing algorithms incompatible with the previous ones.