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4 results about "Mutual influence" patented technology

Single-point incremental forming technology for non-axisymmetric step-feature forming part

ActiveCN109622754AMutual influenceSingle point
The invention relates to a single-point incremental forming technology for a non-axisymmetric step-feature forming part. The single-point incremental forming technology for the non-axisymmetric step-feature forming part comprises the steps that a planar sheet metal part is clamped in a suspended mode, a tool head is used for processing the sheet metal part into a forming part through a plurality of procedures, and the forming sequence of a stepped inclined surface is prior to the forming of a stepped plane. Compared with the prior art, the single-point incremental forming technology for the non-axisymmetric step-feature forming part has the advantages that a simple single-point incremental forming device is used and one-time clamping is achieved so that the sheet metal part with the non-axisymmetricsuspended step-feature is formed; the incremental forming of a complex-shaped sheet metal part can be achieved without the need of adopting a special double-point incremental forming equipment or of specially manufacturing a supporting mold; the single-point incremental forming technology for the non-axisymmetric step-feature forming part combines a multi-step forming and technological path compensation, reasonably controls the move of metal sheets, reduces the mutual influence between different parts, and forms the forming part which satisfies the geometric precision requirement.
Owner:SHANGHAI JIAO TONG UNIV +1

Engineering investigation quality fine evaluation method based on PageRank algorithm

PendingCN112132416ASave man hoursResourcesComplex mathematical operationsMaximum eigenvalueAlgorithm
The invention discloses an engineering investigation quality fine evaluation method based on a PageRank algorithm. The engineering investigation quality fine evaluation method comprises the followingsteps: determining a mutual influence relationship among various factors; listing all mutual influence relation tables; establishing a mutual influence relation matrix A of each influence factor basedon a PageRank algorithm; normalizing the matrix A; carrying out transposition processing on the normalized matrix; calculating the maximum eigenvalue lambda = 1 of the transition probability matrix by using a mathematical calculation tool Matlab to obtain the value of the eigenvector A; obtaining a weight sorting table of each influence factor; summarizing a drilling quality grade table of each influence factor of drilling; establishing a quality evaluation set of each influence factor; establishing a drilling quality evaluation membership matrix R of each influence factor; establishing a weight vector A; and establishing an evaluation matrix B = A * R, and evaluating the quality grade of the drilled hole by adopting a maximum membership principle. The engineering investigation quality fine evaluation method based on the PageRank algorithm has the advantages of objective evaluation, accurate result, data quantitative support and the like, and the influence of subjective factors is greatly reduced.
Owner:SHENZHEN INVESTIGATION & RES INST
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