scholarly journals A MODEL OF CRYSTALLIZATION PROCESS TAKING INTO ACCOUNT PHASE CHANGES IN FORMATION OF A METALLIC MATERIAL BY LASER FUSION METHOD

2018 ◽  
Keyword(s):  
Crystallization Process ◽  
Phase Changes ◽  
Laser Fusion ◽  
Fusion Method ◽  
Metallic Material

STRUCTURE-MECHANICAL STATE OF THE ALNICO35 ALLOY OBTAINED BY SELECTIVE LASER FUSION METHOD

Metallurg ◽  
2021 ◽  
pp. 72-77
Author(s):  
A.S. Zhukov ◽  
I.V. Shakirov ◽  
A.V. Olisov ◽  
B.K. Barakhtin ◽  
S.N. Perevislov
Keyword(s):  
Laser Fusion ◽  
Fusion Method ◽  
Mechanical State ◽  
Selective Laser Fusion

scholarly journals Recent advances in the identification and prediction of polymorphs

2003 ◽  
Vol 3 (3) ◽  
pp. 32-36 ◽  
Author(s):  
Edina Vranić
Keyword(s):  
Crystallization Process ◽  
Scale Up ◽  
Gain Control ◽  
Structural Data ◽  
Phase Changes ◽  
Small Scale ◽  
Processing Conditions ◽  
Strategic Design ◽  
Recent Advances

An increased understanding of the phenomenon of polymorphism should enable pharmaceutical scientists to gain control over the crystallization process in order to selectively obtain the desired polymorph or suppress the growth of an undesired one. Phase changes during processing and scale-up are a problem, which may be avoided by carefully designed initial small-scale studies. The availability of detailed structural data, combined with strategic design of substrates and additives, has led to significant advances in the control over the polymorphs obtained in a particular crystallization. With all the information available from these initial studies, it should be possible to design and to select processing conditions which would give a desired polymorph and maintain the desired form throughout the various stages of drug processing and manufacture.

The Interpretation of Crystal Lattice Images

1972 ◽  
Vol 30 ◽  
pp. 550-551
Author(s):  
J. M. Cowley ◽  
Sumio Iijima
Keyword(s):  
Crystal Orientation ◽  
Diffraction Theory ◽  
Phase Changes ◽  
Electron Wave ◽  
Crystal Lattices ◽  
Heavy Atoms ◽  
Lattice Images ◽  
The Right ◽  
Intuitive Interpretation ◽  
Suitable Approximation

The imaging of detailed structures of crystal lattices with 3 to 4Å resolution, given the correct conditions of microscope defocus and crystal orientation and thickness, has been used by Iijima (this conference) for the study of new types of crystal structures and the defects in known structures associated with fluctuations of stoichiometry. The image intensities may be computed using n-beam dynamical diffraction theory involving several hundred beams (Fejes, this conference). However it is still important to have a suitable approximation to provide an immediate rough estimate of contrast and an evaluation of the intuitive interpretation in terms of an amplitude object.For crystals 100 to 150Å thick containing moderately heavy atoms the phase changes of the electron wave vary by about 10 radians suggesting that the “optimum defocus” theory of amplitude contrast for thin phase objects due to Scherzer and others can not apply, although it does predict the right defocus for optimum imaging.

Raman scattering studies on slow crystallization process from amorphous PbTiO3

1983 ◽  
Vol 44 (11) ◽  
pp. 313-318 ◽  
Author(s):  
Masaaki Takashige ◽  
Terutaro Nakamura ◽  
Yutaka Aikawa
Keyword(s):  
Raman Scattering ◽  
Crystallization Process

Remote diagnostics of vibrations of dynamic objects by Doppler microwave sensors

Metrologiya ◽  
2020 ◽  
pp. 25-42
Author(s):  
Dmitrii V. Khablov
Keyword(s):  
Intelligent Systems ◽  
Electromagnetic Waves ◽  
Continuous Monitoring ◽  
Phase Changes ◽  
Vibration Diagnostics ◽  
Remote Diagnostics ◽  
Active Vibration ◽  
Dynamic Objects ◽  
Microwave Sensors ◽  
Non Destructive

This paper describes a promising method for non-contact vibration diagnostics based on the use of Doppler microwave sensors. In this case, active irradiation of the object with electromagnetic waves and the allocation of phase changes using two-channel quadrature processing of the received reflected signal are used. The modes of further fine analysis of the resulting signal using spectral or wavelet transformations depending on the nature of the active vibration are considered. The advantages of this non-contact and remote vibration analysis method for the study of complex dynamic objects are described. The convenience of the method for machine learning and use in intelligent systems of non-destructive continuous monitoring of the state of these objects by vibration is noted.

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